EC349 Assignment R Markdown
Lina Tang
2023-12-02
Methodology This project will use John Rollin’s General DS Methodology: BAD_RCUP-MED/F to produce accurate predictions about the “stars” ratings since it is concise, easy to grasp and apply. Firstly, predictive analytic on “stars” on user reviews and businesses is the problem definition. Understanding and organizing the data are in the second phase. Summary and graph descriptive statistics will be investigated. Third, in order to find the best one, a range of analysis approaches will be utilized, such as regression and decision trees. Based on the results of model development and cross-validation, I will construct exhaustive analyses and evaluate the predictability of each model.
Problem Understanding & Analytic Approach The objective of this research is to forecast star ratings by utilizing user and review data. Both regression and decision tree analysis will be used in order to identify the most suitable model. The analysis will specifically focus on OLS, ridge, and LASSO regression. Furthermore, with decision trees, enhancement techniques such as bagging, random forests, and boosting will be adopted. Each approach will be analyzed and examined.
library(tidyverse)
library(caret)
library(hexbin)
library(jsonlite)
library(magrittr)
library(dplyr)
library(glmnet)
library(ggplot2)
library(tree)
library(rpart)
library(rpart.plot)getwd()## [1] "C:/Users/123/Desktop/EC349 Assignment"setwd("C:/Users/123/Desktop/EC349 Assignment")cat("\014") rm(list=ls())
load("C:/Users/123/Desktop/EC349 Assignment/yelp_review_small.Rda")
load("C:/Users/123/Desktop/EC349 Assignment/yelp_user_small.Rda")head(review_data_small)## review_id user_id business_id
## 2426470 WV3f9BZQf8yJVs7EBysV9A 2OE7uUsx5VDshFzPFK6XUQ vr6wlGk_RDW6yWiQmbiiow
## 2493386 OrpGM1lbkUQ9J39ILUlCGA xbNkqFNZBzlUaWvmx9rv2A w2XdjBApTWZowED4vwilpA
## 2586412 uwmm1TQApaYWYpTvZLbahA Wk_xohYcysEWnkhOp3sBSA cdrMvOVFFBSwYHb3s06U9w
## 6398019 2hUC94AjNfeLb6d5d97iQg oadYFdpNL6pEpy5epaH_3w 7AwUlf9kw5gwSkrWyDX1zQ
## 2032063 ZR1xoPEZaJ4JY8Sqzj7KKQ kkEp9EfDHKkT4g4GFFh0xA 5DDdiTlpK6Z2fqFs4uSTQQ
## 4356696 cJ2cfLJ3L9GB_gOuM9anug DqkSHfAfJCwXaOQYiSiwHA YBak8o0xCiNN4sXr3izLbg
## stars useful funny cool
## 2426470 2 0 1 0
## 2493386 5 0 0 0
## 2586412 1 10 11 2
## 6398019 2 1 0 0
## 2032063 3 0 0 0
## 4356696 4 0 0 0
## text
## 2426470 We had just gotten to our hotel and Clay wanted to go huntin' history but our bellies were mad hungry. Since Priceline plopped us right in the core of Chinatown it's all like, "hey, come eat with us, we got this yall" so we flipped into Chung King Garden.\n\nWe were a little road-drunk so we embarrassingly over ordered. Big mistake. It was so much food that we HAD to get it boxed up and there was so much food that we HAD to walk it back to our hotel room. The whole thing would have been avoided if we had played it smart. We didn't play it smart and we paid the price. That walk back to our hotel room erased at least ten minutes from our walk through History.\n\nThe shrimp were good and circle, though.
## 2493386 Best barbecue in town, hands down. I highly recommend the brisket, tri tip, and ribs. This is a family owned restaurant that has grown tremendously from starting out as a food truck.
## 2586412 I can never get use to SEPTA...maybe because i was spoiled with NYC's Metro and NJ's PATCO? \n\nWhere to start...The subway stations are so outdated, even the main hubs!!! This is a major city where tourists "might" take the subway but will probably think twice after seeing how dingy they are. \n\nThey are still using coins for subway rides!! WTF...you can literally drop the coin and it roll off and you lose $2.50 right there. Machines don't even take credit cards which is another negative. Did I mention that its dark and dingy??? Not a great place off-peak hours as you run the risk of getting mugged and tossed into the puddle of piss by the stairwells. \n\nMarket L - Morning rush hour is annoying as they are late and trick you, "there is another car behind this car"....right behind means 5+ minutes. The commuters are sketchy as hell. People playing loud ass music, talking on phone loudly, just overly rude. One time, a guy started to roll a blunt with a packed train. He unwrapped a cigar or whatever and dumped all the tobacco on the floor. At least he was kind enough to ensure that the trains are consistent in decor---basically dirty as !@#!\n\nThe stops don't have the best signs so you have to pay attention to the announcement as to which stop it is...OVER the loud ass patrons and music. I'm fortunate to not take the EL when school lets out. If you are unlucky enough to be on during these times, pray you don't get robbed or a flash mob forms. \n\nThe Broad Street line. I took this a few times out of desperation. Again, dingy, dark, smells of urine, and almost zero security. It wouldn't be a problem if there were many other riders around, but the times i used it, there weren't that many. How does a main gate (Spring garden) not open until 11am? I dont' get that...it's a waste of time walking to 1 entrance across a busy ass street. \n\nI took the bus once as a teen, and that would be last time i'll take it for the rest of my life. \n\nI think the biggest grip, I never feel safe riding SEPTA (the trains are fairly safe i guess). There is an absence of security.
## 6398019 Ate lunch there. Sushi buffet was stingy. Limited selection of sushi - mostly rice rolls that were heavy on rice, light on fish. Food was generally OK, but nothing especially great.
## 2032063 I would say Iron Hill is average.... the beer, the food, the service.... I have been to 4 different Iron Hill's and all I can say is average....
## 4356696 Between the great craft beer selection and the huge selection of games, this place is always a blast. I've never eaten here so I can't comment on the food.\n\nThey have change machines which give you tokens to play the games (you can also bring and use quarters). They have an outdoor patio for when you need a break from the atmosphere (It's normally pretty hectic and it gets warm in there).\n\nThe 4 player pac man table is my favorite!
## date
## 2426470 2010-05-03 04:07:13
## 2493386 2019-07-12 20:28:57
## 2586412 2015-08-19 19:05:28
## 6398019 2012-12-14 03:19:48
## 2032063 2020-08-15 20:12:56
## 4356696 2016-10-02 20:52:29str(review_data_small)## 'data.frame': 1398056 obs. of 9 variables:
## $ review_id : chr "WV3f9BZQf8yJVs7EBysV9A" "OrpGM1lbkUQ9J39ILUlCGA" "uwmm1TQApaYWYpTvZLbahA" "2hUC94AjNfeLb6d5d97iQg" ...
## $ user_id : chr "2OE7uUsx5VDshFzPFK6XUQ" "xbNkqFNZBzlUaWvmx9rv2A" "Wk_xohYcysEWnkhOp3sBSA" "oadYFdpNL6pEpy5epaH_3w" ...
## $ business_id: chr "vr6wlGk_RDW6yWiQmbiiow" "w2XdjBApTWZowED4vwilpA" "cdrMvOVFFBSwYHb3s06U9w" "7AwUlf9kw5gwSkrWyDX1zQ" ...
## $ stars : num 2 5 1 2 3 4 1 5 4 4 ...
## $ useful : int 0 0 10 1 0 0 0 0 1 12 ...
## $ funny : int 1 0 11 0 0 0 0 0 0 6 ...
## $ cool : int 0 0 2 0 0 0 0 0 1 9 ...
## $ text : chr "We had just gotten to our hotel and Clay wanted to go huntin' history but our bellies were mad hungry. Since Pr"| __truncated__ "Best barbecue in town, hands down. I highly recommend the brisket, tri tip, and ribs. This is a family owned re"| __truncated__ "I can never get use to SEPTA...maybe because i was spoiled with NYC's Metro and NJ's PATCO? \n\nWhere to start."| __truncated__ "Ate lunch there. Sushi buffet was stingy. Limited selection of sushi - mostly rice rolls that were heavy on r"| __truncated__ ...
## $ date : chr "2010-05-03 04:07:13" "2019-07-12 20:28:57" "2015-08-19 19:05:28" "2012-12-14 03:19:48" ...summary(review_data_small)## review_id user_id business_id stars
## Length:1398056 Length:1398056 Length:1398056 Min. :1.000
## Class :character Class :character Class :character 1st Qu.:3.000
## Mode :character Mode :character Mode :character Median :4.000
## Mean :3.748
## 3rd Qu.:5.000
## Max. :5.000
## useful funny cool text
## Min. : 0.000 Min. : 0.0000 Min. : 0.0000 Length:1398056
## 1st Qu.: 0.000 1st Qu.: 0.0000 1st Qu.: 0.0000 Class :character
## Median : 0.000 Median : 0.0000 Median : 0.0000 Mode :character
## Mean : 1.183 Mean : 0.3257 Mean : 0.4975
## 3rd Qu.: 1.000 3rd Qu.: 0.0000 3rd Qu.: 0.0000
## Max. :1182.000 Max. :346.0000 Max. :400.0000
## date
## Length:1398056
## Class :character
## Mode :character
##
##
## dim(review_data_small)## [1] 1398056 9colnames(review_data_small)## [1] "review_id" "user_id" "business_id" "stars" "useful"
## [6] "funny" "cool" "text" "date"In the review sample, review_id, text and date will not be included as stars prediction factors because to their specificity and difficulty in definition.
head(user_data_small)## user_id name review_count yelping_since useful
## 1597252 SUTFdgtWEudo4rXc45iQSA Bob 41 2010-05-18 02:02:49 37
## 452737 R0vjyChwpRTJ9Cq0SqC-jg Myat 9 2013-08-15 04:34:23 5
## 124413 zcM8eIIADgLklgkmphadlg Bernie 19 2014-06-19 21:10:43 7
## 1485099 Zz3iAIkUI_hfoxSS2YfiNQ Brandon 3 2019-03-23 01:42:41 0
## 856018 4c_B-ei9TskK56QIAu0PFg Rita 14 2014-05-19 10:22:13 8
## 1715507 rWFEuH1oN9yPEG2QHMolfA G 3 2015-12-06 01:19:04 0
## funny cool elite
## 1597252 5 13
## 452737 3 1
## 124413 0 7
## 1485099 2 0
## 856018 2 4
## 1715507 0 0
## friends
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## 124413 wBbjgHsrKr7BsPBrQwJf2w, oUK6Xs5dPPnP4whFeZExGg, oHJn6iw_nB5BKFpTjOn3CQ, Mg7C72AUd69t_ruDx9cAdw, 582m3xTJB2Ff5-u3fnZl1Q, hunpVKpjI5OrOmOedAgnuA, PkeDOqXbgEOkR-aKUHoQ_A, KVkefBJIPdngvn2fEMNgzA, gS3raexVjIWJojKGdoE6fQ
## 1485099 i_8XTN4F2FGq2v76b8fQQQ
## 856018 2STnt-n844Ze3LjCXVprow, t_8AX68R0kc5U50b60jh-Q, aESX1Uxs06aCcc5dFdxcfA, gz_vUkqBewOYOAMztiBBEw, me0-OI2cvuBqDqLYrynq8g, PuQLzlJajjwvXPw2l3wrag, Loekh-iPgAyYkxOoh6rh2Q, JUa8R1zRMEEYFHi05nid3w, XnaKkrabfX1rWB6KtLo7rg, X-isEgXK9DNWOhC8Zt2Sug, Dfa2HDYy3yMVrdmX0bVhaw, O2Hm0427ExfaCGVQ5Jybiw, qKZN0BMF4rkbGQaHJQcJUw, eF6t1S91YQFoNuF25m0apw, NrR4K_NS2N5Mq--2Tkd2lQ, NgS9ACRIhRi-5sl3lyNa_A, MgmIJSFG344VhQlopzSYXg
## 1715507 None
## fans average_stars compliment_hot compliment_more compliment_profile
## 1597252 1 4.08 0 0 0
## 452737 1 4.00 0 0 0
## 124413 1 4.32 0 0 0
## 1485099 1 4.00 0 0 0
## 856018 0 4.71 0 0 0
## 1715507 0 4.00 0 0 0
## compliment_cute compliment_list compliment_note compliment_plain
## 1597252 0 0 1 1
## 452737 0 0 0 0
## 124413 0 0 0 0
## 1485099 0 0 0 0
## 856018 0 0 0 0
## 1715507 0 0 0 0
## compliment_cool compliment_funny compliment_writer compliment_photos
## 1597252 0 0 0 0
## 452737 0 0 0 0
## 124413 1 1 0 0
## 1485099 0 0 0 0
## 856018 0 0 0 0
## 1715507 0 0 0 0str(user_data_small)## 'data.frame': 397579 obs. of 22 variables:
## $ user_id : chr "SUTFdgtWEudo4rXc45iQSA" "R0vjyChwpRTJ9Cq0SqC-jg" "zcM8eIIADgLklgkmphadlg" "Zz3iAIkUI_hfoxSS2YfiNQ" ...
## $ name : chr "Bob" "Myat" "Bernie" "Brandon" ...
## $ review_count : int 41 9 19 3 14 3 103 3 25 29 ...
## $ yelping_since : chr "2010-05-18 02:02:49" "2013-08-15 04:34:23" "2014-06-19 21:10:43" "2019-03-23 01:42:41" ...
## $ useful : int 37 5 7 0 8 0 92 0 29 18 ...
## $ funny : int 5 3 0 2 2 0 30 0 5 3 ...
## $ cool : int 13 1 7 0 4 0 46 0 1 2 ...
## $ elite : chr "" "" "" "" ...
## $ friends : chr "zpmGh02nPaLF04KiICTvrA, 5rGc461OD3ah9AiCgBXYUg, Iu2GpfNAfWK9nQ_B7MYn2Q, EoHMNDQqOVy-hTaCVmb00A, 5oMHUD2VGFbge5o"| __truncated__ "A8byaA2LY6JMJAVSyEcRCQ, etq8jsVYQIkT3yGRJFsktw, KBqlhbR1KPwiSeBR5aZqYQ, Ckf9EsypDOeueOhVOiWMSg, VuI6aXdCOkXqc_y"| __truncated__ "wBbjgHsrKr7BsPBrQwJf2w, oUK6Xs5dPPnP4whFeZExGg, oHJn6iw_nB5BKFpTjOn3CQ, Mg7C72AUd69t_ruDx9cAdw, 582m3xTJB2Ff5-u"| __truncated__ "i_8XTN4F2FGq2v76b8fQQQ" ...
## $ fans : int 1 1 1 1 0 0 2 0 0 0 ...
## $ average_stars : num 4.08 4 4.32 4 4.71 4 3.79 2.33 3.56 3.63 ...
## $ compliment_hot : int 0 0 0 0 0 0 0 0 0 0 ...
## $ compliment_more : int 0 0 0 0 0 0 1 0 0 0 ...
## $ compliment_profile: int 0 0 0 0 0 0 0 0 0 0 ...
## $ compliment_cute : int 0 0 0 0 0 0 0 0 0 0 ...
## $ compliment_list : int 0 0 0 0 0 0 0 0 0 0 ...
## $ compliment_note : int 1 0 0 0 0 0 1 0 1 0 ...
## $ compliment_plain : int 1 0 0 0 0 0 2 0 0 1 ...
## $ compliment_cool : int 0 0 1 0 0 0 3 0 0 0 ...
## $ compliment_funny : int 0 0 1 0 0 0 3 0 0 0 ...
## $ compliment_writer : int 0 0 0 0 0 0 1 0 0 0 ...
## $ compliment_photos : int 0 0 0 0 0 0 2 0 0 0 ...summary(user_data_small)## user_id name review_count yelping_since
## Length:397579 Length:397579 Min. : 0.00 Length:397579
## Class :character Class :character 1st Qu.: 2.00 Class :character
## Mode :character Mode :character Median : 5.00 Mode :character
## Mean : 23.34
## 3rd Qu.: 17.00
## Max. :8363.00
## useful funny cool elite
## Min. : 0.00 Min. : 0.00 Min. : 0.0 Length:397579
## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.0 Class :character
## Median : 3.00 Median : 0.00 Median : 0.0 Mode :character
## Mean : 42.72 Mean : 17.38 Mean : 24.3
## 3rd Qu.: 13.00 3rd Qu.: 2.00 3rd Qu.: 3.0
## Max. :205765.00 Max. :173096.00 Max. :199878.0
## friends fans average_stars compliment_hot
## Length:397579 Min. : 0.000 Min. :1.00 Min. : 0.000
## Class :character 1st Qu.: 0.000 1st Qu.:3.00 1st Qu.: 0.000
## Mode :character Median : 0.000 Median :3.88 Median : 0.000
## Mean : 1.464 Mean :3.63 Mean : 2.059
## 3rd Qu.: 0.000 3rd Qu.:4.56 3rd Qu.: 0.000
## Max. :2547.000 Max. :5.00 Max. :25411.000
## compliment_more compliment_profile compliment_cute compliment_list
## Min. : 0.00 Min. : 0.000 Min. : 0.000 Min. : 0.000
## 1st Qu.: 0.00 1st Qu.: 0.000 1st Qu.: 0.000 1st Qu.: 0.000
## Median : 0.00 Median : 0.000 Median : 0.000 Median : 0.000
## Mean : 0.33 Mean : 0.231 Mean : 0.171 Mean : 0.099
## 3rd Qu.: 0.00 3rd Qu.: 0.000 3rd Qu.: 0.000 3rd Qu.: 0.000
## Max. :13501.00 Max. :14180.000 Max. :13654.000 Max. :12669.000
## compliment_note compliment_plain compliment_cool compliment_funny
## Min. : 0.00 Min. : 0.000 Min. : 0.000 Min. : 0.000
## 1st Qu.: 0.00 1st Qu.: 0.000 1st Qu.: 0.000 1st Qu.: 0.000
## Median : 0.00 Median : 0.000 Median : 0.000 Median : 0.000
## Mean : 1.58 Mean : 3.267 Mean : 3.147 Mean : 3.147
## 3rd Qu.: 0.00 3rd Qu.: 0.000 3rd Qu.: 0.000 3rd Qu.: 0.000
## Max. :38336.00 Max. :28974.000 Max. :30008.000 Max. :30008.000
## compliment_writer compliment_photos
## Min. : 0.000 Min. : 0.00
## 1st Qu.: 0.000 1st Qu.: 0.00
## Median : 0.000 Median : 0.00
## Mean : 1.119 Mean : 1.51
## 3rd Qu.: 0.000 3rd Qu.: 0.00
## Max. :15446.000 Max. :82630.00dim(user_data_small)## [1] 397579 22colnames(user_data_small)## [1] "user_id" "name" "review_count"
## [4] "yelping_since" "useful" "funny"
## [7] "cool" "elite" "friends"
## [10] "fans" "average_stars" "compliment_hot"
## [13] "compliment_more" "compliment_profile" "compliment_cute"
## [16] "compliment_list" "compliment_note" "compliment_plain"
## [19] "compliment_cool" "compliment_funny" "compliment_writer"
## [22] "compliment_photos"Meanwhile, in the user sample, name, yelping_since and elite will not be involved for the same reasons. From the brief inspection of data, the presence of extreme values implies the sample suffers from outlier problems. Initially, we will join the two samples based on the user_id and thereafter do data cleansing.
df <- review_data_small %>% left_join (user_data_small, by = "user_id")
str(df)## 'data.frame': 1398056 obs. of 30 variables:
## $ review_id : chr "WV3f9BZQf8yJVs7EBysV9A" "OrpGM1lbkUQ9J39ILUlCGA" "uwmm1TQApaYWYpTvZLbahA" "2hUC94AjNfeLb6d5d97iQg" ...
## $ user_id : chr "2OE7uUsx5VDshFzPFK6XUQ" "xbNkqFNZBzlUaWvmx9rv2A" "Wk_xohYcysEWnkhOp3sBSA" "oadYFdpNL6pEpy5epaH_3w" ...
## $ business_id : chr "vr6wlGk_RDW6yWiQmbiiow" "w2XdjBApTWZowED4vwilpA" "cdrMvOVFFBSwYHb3s06U9w" "7AwUlf9kw5gwSkrWyDX1zQ" ...
## $ stars : num 2 5 1 2 3 4 1 5 4 4 ...
## $ useful.x : int 0 0 10 1 0 0 0 0 1 12 ...
## $ funny.x : int 1 0 11 0 0 0 0 0 0 6 ...
## $ cool.x : int 0 0 2 0 0 0 0 0 1 9 ...
## $ text : chr "We had just gotten to our hotel and Clay wanted to go huntin' history but our bellies were mad hungry. Since Pr"| __truncated__ "Best barbecue in town, hands down. I highly recommend the brisket, tri tip, and ribs. This is a family owned re"| __truncated__ "I can never get use to SEPTA...maybe because i was spoiled with NYC's Metro and NJ's PATCO? \n\nWhere to start."| __truncated__ "Ate lunch there. Sushi buffet was stingy. Limited selection of sushi - mostly rice rolls that were heavy on r"| __truncated__ ...
## $ date : chr "2010-05-03 04:07:13" "2019-07-12 20:28:57" "2015-08-19 19:05:28" "2012-12-14 03:19:48" ...
## $ name : chr "Chris" NA "Hoang" NA ...
## $ review_count : int 151 NA 358 NA NA NA NA NA 25 NA ...
## $ yelping_since : chr "2008-07-21 06:33:02" NA "2009-02-16 21:18:52" NA ...
## $ useful.y : int 166 NA 763 NA NA NA NA NA 12 NA ...
## $ funny.y : int 200 NA 234 NA NA NA NA NA 5 NA ...
## $ cool.y : int 106 NA 371 NA NA NA NA NA 10 NA ...
## $ elite : chr "" NA "2014,2015,2016,2017,2018,2019" NA ...
## $ friends : chr "iEDQ7GXDkB8oCAsWyu2HwA, M5CAgS9PTt0A8kANEcf8bw, Dqg6NArxRl7Ql9MEm_c8jg, -MepM5qgXsCqaJBNGtp3tw, c3JYQjsOjc-Em8-"| __truncated__ NA "OmL2bjLvvRxg1brM5Pehgw, hP3Y6-m1aA_UZaa4X3T1cQ, BrfStKKOVtT-BZGuT9qJwA, JTqQ9C9S2Qc8_aHtO1965g, ET8n-r7glWYqZhu"| __truncated__ NA ...
## $ fans : int 11 NA 24 NA NA NA NA NA 1 NA ...
## $ average_stars : num 4.18 NA 3.83 NA NA NA NA NA 4.31 NA ...
## $ compliment_hot : int 0 NA 20 NA NA NA NA NA 0 NA ...
## $ compliment_more : int 2 NA 3 NA NA NA NA NA 0 NA ...
## $ compliment_profile: int 0 NA 2 NA NA NA NA NA 0 NA ...
## $ compliment_cute : int 0 NA 1 NA NA NA NA NA 0 NA ...
## $ compliment_list : int 0 NA 0 NA NA NA NA NA 0 NA ...
## $ compliment_note : int 4 NA 34 NA NA NA NA NA 0 NA ...
## $ compliment_plain : int 4 NA 35 NA NA NA NA NA 0 NA ...
## $ compliment_cool : int 2 NA 31 NA NA NA NA NA 0 NA ...
## $ compliment_funny : int 2 NA 31 NA NA NA NA NA 0 NA ...
## $ compliment_writer : int 3 NA 12 NA NA NA NA NA 1 NA ...
## $ compliment_photos : int 1 NA 8 NA NA NA NA NA 0 NA ...summary(df)## review_id user_id business_id stars
## Length:1398056 Length:1398056 Length:1398056 Min. :1.000
## Class :character Class :character Class :character 1st Qu.:3.000
## Mode :character Mode :character Mode :character Median :4.000
## Mean :3.748
## 3rd Qu.:5.000
## Max. :5.000
##
## useful.x funny.x cool.x text
## Min. : 0.000 Min. : 0.0000 Min. : 0.0000 Length:1398056
## 1st Qu.: 0.000 1st Qu.: 0.0000 1st Qu.: 0.0000 Class :character
## Median : 0.000 Median : 0.0000 Median : 0.0000 Mode :character
## Mean : 1.183 Mean : 0.3257 Mean : 0.4975
## 3rd Qu.: 1.000 3rd Qu.: 0.0000 3rd Qu.: 0.0000
## Max. :1182.000 Max. :346.0000 Max. :400.0000
##
## date name review_count yelping_since
## Length:1398056 Length:1398056 Min. : 0.0 Length:1398056
## Class :character Class :character 1st Qu.: 7.0 Class :character
## Mode :character Mode :character Median : 24.0 Mode :character
## Mean : 114.6
## 3rd Qu.: 97.0
## Max. :8363.0
## NA's :1118178
## useful.y funny.y cool.y elite
## Min. : 0.0 Min. : 0.0 Min. : 0 Length:1398056
## 1st Qu.: 3.0 1st Qu.: 0.0 1st Qu.: 0 Class :character
## Median : 19.0 Median : 3.0 Median : 4 Mode :character
## Mean : 385.1 Mean : 162.5 Mean : 260
## 3rd Qu.: 110.0 3rd Qu.: 25.0 3rd Qu.: 39
## Max. :205765.0 Max. :173096.0 Max. :199878
## NA's :1118178 NA's :1118178 NA's :1118178
## friends fans average_stars compliment_hot
## Length:1398056 Min. : 0.0 Min. :1.0 Min. : 0.0
## Class :character 1st Qu.: 0.0 1st Qu.:3.4 1st Qu.: 0.0
## Mode :character Median : 0.0 Median :3.9 Median : 0.0
## Mean : 11.8 Mean :3.7 Mean : 16.7
## 3rd Qu.: 4.0 3rd Qu.:4.3 3rd Qu.: 1.0
## Max. :2547.0 Max. :5.0 Max. :25411.0
## NA's :1118178 NA's :1118178 NA's :1118178
## compliment_more compliment_profile compliment_cute compliment_list
## Min. : 0.0 Min. : 0.0 Min. : 0.0 Min. : 0.0
## 1st Qu.: 0.0 1st Qu.: 0.0 1st Qu.: 0.0 1st Qu.: 0.0
## Median : 0.0 Median : 0.0 Median : 0.0 Median : 0.0
## Mean : 2.3 Mean : 1.5 Mean : 0.9 Mean : 0.6
## 3rd Qu.: 1.0 3rd Qu.: 0.0 3rd Qu.: 0.0 3rd Qu.: 0.0
## Max. :13501.0 Max. :14180.0 Max. :13654.0 Max. :12669.0
## NA's :1118178 NA's :1118178 NA's :1118178 NA's :1118178
## compliment_note compliment_plain compliment_cool compliment_funny
## Min. : 0.0 Min. : 0.0 Min. : 0.0 Min. : 0.0
## 1st Qu.: 0.0 1st Qu.: 0.0 1st Qu.: 0.0 1st Qu.: 0.0
## Median : 0.0 Median : 0.0 Median : 0.0 Median : 0.0
## Mean : 15.6 Mean : 42.1 Mean : 30.3 Mean : 30.3
## 3rd Qu.: 3.0 3rd Qu.: 3.0 3rd Qu.: 3.0 3rd Qu.: 3.0
## Max. :38336.0 Max. :28974.0 Max. :30008.0 Max. :30008.0
## NA's :1118178 NA's :1118178 NA's :1118178 NA's :1118178
## compliment_writer compliment_photos
## Min. : 0.0 Min. : 0.0
## 1st Qu.: 0.0 1st Qu.: 0.0
## Median : 0.0 Median : 0.0
## Mean : 10.6 Mean : 12.3
## 3rd Qu.: 2.0 3rd Qu.: 1.0
## Max. :15446.0 Max. :82630.0
## NA's :1118178 NA's :1118178df$stars <- as.numeric(df$stars)sapply(df, function(x) sum(is.na(x)))## review_id user_id business_id stars
## 0 0 0 0
## useful.x funny.x cool.x text
## 0 0 0 0
## date name review_count yelping_since
## 0 1118178 1118178 1118178
## useful.y funny.y cool.y elite
## 1118178 1118178 1118178 1118178
## friends fans average_stars compliment_hot
## 1118178 1118178 1118178 1118178
## compliment_more compliment_profile compliment_cute compliment_list
## 1118178 1118178 1118178 1118178
## compliment_note compliment_plain compliment_cool compliment_funny
## 1118178 1118178 1118178 1118178
## compliment_writer compliment_photos
## 1118178 1118178df = df[complete.cases(df), ]
str(df)## 'data.frame': 279878 obs. of 30 variables:
## $ review_id : chr "WV3f9BZQf8yJVs7EBysV9A" "uwmm1TQApaYWYpTvZLbahA" "9zT3jLD8o5f73Jd2hBI3wg" "ecdQagtEDkxrtzQKzui8Cg" ...
## $ user_id : chr "2OE7uUsx5VDshFzPFK6XUQ" "Wk_xohYcysEWnkhOp3sBSA" "jwktJEZOzE-iZk1aAe2_zw" "gbzPqS6-3iXI-QBqrJHGxg" ...
## $ business_id : chr "vr6wlGk_RDW6yWiQmbiiow" "cdrMvOVFFBSwYHb3s06U9w" "0lf3Nqamc_9kKpDV4ajy1g" "M6MgV7UZB1e8kOHz1ZJmog" ...
## $ stars : num 2 1 4 2 4 1 4 1 5 4 ...
## $ useful.x : int 0 10 1 3 0 7 0 1 0 3 ...
## $ funny.x : int 1 11 0 0 0 6 0 0 1 1 ...
## $ cool.x : int 0 2 1 0 0 5 0 0 0 4 ...
## $ text : chr "We had just gotten to our hotel and Clay wanted to go huntin' history but our bellies were mad hungry. Since Pr"| __truncated__ "I can never get use to SEPTA...maybe because i was spoiled with NYC's Metro and NJ's PATCO? \n\nWhere to start."| __truncated__ "Great IPAs. Tears of Ra, Their honey IPA is amazing. Basket of fries with the chipotle Sauce was pretty damn go"| __truncated__ "I've been coming here for years and the food has always been amazing; but just the other day, I found two insec"| __truncated__ ...
## $ date : chr "2010-05-03 04:07:13" "2015-08-19 19:05:28" "2015-02-03 22:41:30" "2016-09-23 22:10:23" ...
## $ name : chr "Chris" "Hoang" "Mark" "Christine" ...
## $ review_count : int 151 358 25 4 2 104 27 27 327 131 ...
## $ yelping_since : chr "2008-07-21 06:33:02" "2009-02-16 21:18:52" "2011-03-27 01:47:34" "2015-04-11 02:37:27" ...
## $ useful.y : int 166 763 12 4 0 161 7 9 481 349 ...
## $ funny.y : int 200 234 5 0 0 28 0 4 73 121 ...
## $ cool.y : int 106 371 10 0 0 93 0 3 116 197 ...
## $ elite : chr "" "2014,2015,2016,2017,2018,2019" "" "" ...
## $ friends : chr "iEDQ7GXDkB8oCAsWyu2HwA, M5CAgS9PTt0A8kANEcf8bw, Dqg6NArxRl7Ql9MEm_c8jg, -MepM5qgXsCqaJBNGtp3tw, c3JYQjsOjc-Em8-"| __truncated__ "OmL2bjLvvRxg1brM5Pehgw, hP3Y6-m1aA_UZaa4X3T1cQ, BrfStKKOVtT-BZGuT9qJwA, JTqQ9C9S2Qc8_aHtO1965g, ET8n-r7glWYqZhu"| __truncated__ "6JlwkVDeD32diglLWgYuzA, HmsbMq0_4RCJjnDSCvx3jQ, AHRrG3T1gJpHvtpZ-K0G_g" "None" ...
## $ fans : int 11 24 1 0 0 11 0 0 9 25 ...
## $ average_stars : num 4.18 3.83 4.31 2.75 4.5 4.07 3.41 4.04 3.69 4.07 ...
## $ compliment_hot : int 0 20 0 0 0 9 0 0 4 69 ...
## $ compliment_more : int 2 3 0 0 0 2 0 0 0 2 ...
## $ compliment_profile: int 0 2 0 0 0 1 0 0 0 0 ...
## $ compliment_cute : int 0 1 0 0 0 0 0 0 0 4 ...
## $ compliment_list : int 0 0 0 0 0 0 0 0 2 0 ...
## $ compliment_note : int 4 34 0 0 0 15 0 0 8 40 ...
## $ compliment_plain : int 4 35 0 0 0 19 0 0 3 38 ...
## $ compliment_cool : int 2 31 0 0 0 14 0 0 3 78 ...
## $ compliment_funny : int 2 31 0 0 0 14 0 0 3 78 ...
## $ compliment_writer : int 3 12 1 0 0 7 0 0 6 47 ...
## $ compliment_photos : int 1 8 0 0 0 3 0 0 0 10 ...summary(df)## review_id user_id business_id stars
## Length:279878 Length:279878 Length:279878 Min. :1.000
## Class :character Class :character Class :character 1st Qu.:3.000
## Mode :character Mode :character Mode :character Median :4.000
## Mean :3.746
## 3rd Qu.:5.000
## Max. :5.000
## useful.x funny.x cool.x text
## Min. : 0.000 Min. : 0.0000 Min. : 0.00 Length:279878
## 1st Qu.: 0.000 1st Qu.: 0.0000 1st Qu.: 0.00 Class :character
## Median : 0.000 Median : 0.0000 Median : 0.00 Mode :character
## Mean : 1.171 Mean : 0.3236 Mean : 0.49
## 3rd Qu.: 1.000 3rd Qu.: 0.0000 3rd Qu.: 0.00
## Max. :399.000 Max. :346.0000 Max. :399.00
## date name review_count yelping_since
## Length:279878 Length:279878 Min. : 0.0 Length:279878
## Class :character Class :character 1st Qu.: 7.0 Class :character
## Mode :character Mode :character Median : 24.0 Mode :character
## Mean : 114.6
## 3rd Qu.: 97.0
## Max. :8363.0
## useful.y funny.y cool.y elite
## Min. : 0.0 Min. : 0.0 Min. : 0 Length:279878
## 1st Qu.: 3.0 1st Qu.: 0.0 1st Qu.: 0 Class :character
## Median : 19.0 Median : 3.0 Median : 4 Mode :character
## Mean : 385.1 Mean : 162.5 Mean : 260
## 3rd Qu.: 110.0 3rd Qu.: 25.0 3rd Qu.: 39
## Max. :205765.0 Max. :173096.0 Max. :199878
## friends fans average_stars compliment_hot
## Length:279878 Min. : 0.00 Min. :1.000 Min. : 0.00
## Class :character 1st Qu.: 0.00 1st Qu.:3.400 1st Qu.: 0.00
## Mode :character Median : 0.00 Median :3.880 Median : 0.00
## Mean : 11.84 Mean :3.746 Mean : 16.72
## 3rd Qu.: 4.00 3rd Qu.:4.290 3rd Qu.: 1.00
## Max. :2547.00 Max. :5.000 Max. :25411.00
## compliment_more compliment_profile compliment_cute
## Min. : 0.000 Min. : 0.000 Min. : 0.000
## 1st Qu.: 0.000 1st Qu.: 0.000 1st Qu.: 0.000
## Median : 0.000 Median : 0.000 Median : 0.000
## Mean : 2.262 Mean : 1.458 Mean : 0.933
## 3rd Qu.: 1.000 3rd Qu.: 0.000 3rd Qu.: 0.000
## Max. :13501.000 Max. :14180.000 Max. :13654.000
## compliment_list compliment_note compliment_plain compliment_cool
## Min. : 0.000 Min. : 0.00 Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.000 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 0.000 Median : 0.00 Median : 0.00 Median : 0.00
## Mean : 0.603 Mean : 15.64 Mean : 42.12 Mean : 30.34
## 3rd Qu.: 0.000 3rd Qu.: 3.00 3rd Qu.: 3.00 3rd Qu.: 3.00
## Max. :12669.000 Max. :38336.00 Max. :28974.00 Max. :30008.00
## compliment_funny compliment_writer compliment_photos
## Min. : 0.00 Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 0.00 Median : 0.00 Median : 0.00
## Mean : 30.34 Mean : 10.58 Mean : 12.28
## 3rd Qu.: 3.00 3rd Qu.: 2.00 3rd Qu.: 1.00
## Max. :30008.00 Max. :15446.00 Max. :82630.00While stars may appear to be a categorical variable, R Studio does not recognize factors as a response variable. All main variables will be designated as numerical values in the regression analysis but some of them will be placed as factors in the decision trees. The combined sample has a significant amount of missing data. Following Zhang’s (2015) approach, the missing values are excluded from the data. While scholars (Emmanuel et al., 2021) may argue the presence of bias, it is important to note that R Studio does not handle missing values in either regression or decision tree analyses.
df$useful.x <- as.numeric(df$useful.x)
df$funny.x <- as.numeric(df$funny.x)
df$cool.x <- as.numeric(df$cool.x)
df$funny.y <- as.numeric(df$funny.y)
df$useful.y <- as.numeric(df$useful.y)
df$fans <- as.numeric(df$fans)
df$average_stars <- as.numeric(df$average_stars)
df$compliment_cool <- as.numeric(df$compliment_cool)
df$compliment_more <- as.numeric(df$compliment_more)
df$compliment_hot <- as.numeric(df$compliment_hot)
df$compliment_profile <- as.numeric(df$compliment_profile)
df$compliment_note <- as.numeric(df$compliment_note)
df$compliment_cute <- as.numeric(df$compliment_cute)
df$compliment_list <- as.numeric(df$compliment_list)
df$compliment_funny <- as.numeric(df$compliment_funny)
df$compliment_plain <- as.numeric(df$compliment_plain)
df$compliment_writer <- as.numeric(df$compliment_writer)
df$compliment_photos <- as.numeric(df$compliment_photos)hist(df$useful.x, breaks=10)
hist(df$funny.x, breaks=10)
hist(df$cool.x, breaks=10)
df <- subset(df, useful.x < 6 & funny.x < 6 & cool.x < 6)Review data involves the up-to-date evaluation of users to the restaurant. By contrast, user data contains previous accumulative reviews of users. In general, human or mechanical mistake, respondents’ reluctance to answer specific questions, study dropout, merging unrelated data, and errors due to malfunctioning equipment are common causes of missing values and sampling errors (Emmanuel et al., 2021). The histograms demonstrated that a majority data of user.x, funny.x and cool.x are below 50. As stars are clearly categorical values ranging from 1 to 5, values for these variables are restricted to 5, to exclude outliers.
set.seed(1)
df$stars <- as.numeric(df$stars)
training.samples <- df$stars %>%
createDataPartition(p = 0.8, list = FALSE)
train.data <- df[training.samples, ]
test.data <- df[-training.samples, ]Additionally, data is randomly split into training and test samples, with probability of 0.8 and 0.2 respectively.
Regression Analysis & Evaluation
model1 <- lm(as.numeric(stars) ~ useful.x + funny.x + cool.x, data = train.data)
summary(model1)##
## Call:
## lm(formula = as.numeric(stars) ~ useful.x + funny.x + cool.x,
## data = train.data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.6306 -0.8510 0.3911 1.1490 4.3350
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.850978 0.003704 1039.77 <2e-16 ***
## useful.x -0.242112 0.003132 -77.31 <2e-16 ***
## funny.x -0.395079 0.006075 -65.03 <2e-16 ***
## cool.x 0.593203 0.005267 112.63 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.414 on 214297 degrees of freedom
## Multiple R-squared: 0.0725, Adjusted R-squared: 0.07249
## F-statistic: 5584 on 3 and 214297 DF, p-value: < 2.2e-16plot(model1)
In model (1), it is apparent that all predictors have a substantial impact on the rating of stars. The coefficient of R-squared is the fraction of dependent variable variance predicted by independent factors (Wright, 1921). The capability of the model (1) to account for the variations is inadequate, with an approximate R-squared of 7.25%. Among the other graphs, there exist numerous outliers. The relationship between the variables may be somewhat non-linear, as suggested by the non-linear red line. The presence of an S-shape in the Q-Q plot indicates that the data may deviate from a normal distribution.
predictions_m1 <- predict(model1, newdata = test.data)
compare <- data.frame(actual = as.numeric(test.data$stars),
predicted = predictions_m1)
OLS_MSE_m1<- mean((predictions_m1 - as.numeric(test.data$stars)) ^ 2) #Note how it outperforms OLS
OLS_MSE_m1 #2.001981## [1] 2.001981sqrt(OLS_MSE_m1) #1.414914## [1] 1.414914model2 <- lm(as.numeric(stars) ~ useful.x + funny.x + cool.x + useful.y + funny.y + cool.y + average_stars + fans + review_count + compliment_hot + compliment_more + compliment_profile + compliment_cute + compliment_list + compliment_note + compliment_plain + compliment_cool + compliment_funny + compliment_writer + compliment_photos, data = train.data)
summary(model2)##
## Call:
## lm(formula = as.numeric(stars) ~ useful.x + funny.x + cool.x +
## useful.y + funny.y + cool.y + average_stars + fans + review_count +
## compliment_hot + compliment_more + compliment_profile + compliment_cute +
## compliment_list + compliment_note + compliment_plain + compliment_cool +
## compliment_funny + compliment_writer + compliment_photos,
## data = train.data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.5395 -0.6162 0.1096 0.7867 3.9933
##
## Coefficients: (1 not defined because of singularities)
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.843e-01 1.146e-02 24.810 < 2e-16 ***
## useful.x -1.805e-01 2.600e-03 -69.432 < 2e-16 ***
## funny.x -2.907e-01 5.034e-03 -57.744 < 2e-16 ***
## cool.x 4.096e-01 4.463e-03 91.762 < 2e-16 ***
## useful.y 2.287e-04 2.255e-05 10.144 < 2e-16 ***
## funny.y 1.707e-04 1.711e-05 9.976 < 2e-16 ***
## cool.y -3.459e-04 2.629e-05 -13.155 < 2e-16 ***
## average_stars 9.481e-01 2.937e-03 322.782 < 2e-16 ***
## fans -8.203e-04 1.779e-04 -4.610 4.03e-06 ***
## review_count -1.012e-04 2.270e-05 -4.459 8.24e-06 ***
## compliment_hot 4.487e-05 1.344e-04 0.334 0.738531
## compliment_more 1.727e-03 1.040e-03 1.660 0.096956 .
## compliment_profile 2.429e-03 7.959e-04 3.051 0.002277 **
## compliment_cute 1.882e-05 1.115e-03 0.017 0.986532
## compliment_list -5.952e-03 1.582e-03 -3.762 0.000168 ***
## compliment_note -3.678e-04 1.713e-04 -2.147 0.031785 *
## compliment_plain 1.079e-04 4.782e-05 2.257 0.023993 *
## compliment_cool -7.268e-05 1.206e-04 -0.603 0.546727
## compliment_funny NA NA NA NA
## compliment_writer -9.797e-04 2.175e-04 -4.505 6.64e-06 ***
## compliment_photos 1.947e-04 1.234e-04 1.577 0.114707
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.159 on 214281 degrees of freedom
## Multiple R-squared: 0.3767, Adjusted R-squared: 0.3767
## F-statistic: 6816 on 19 and 214281 DF, p-value: < 2.2e-16plot(model2)
Clearly, model (2) with all accountable variables has a higher R^2 value of 37.67% than model (1). From the Q-Q plot, model (2) exhibits a normal distribution.
predictions_m2 <- model2 %>% predict(test.data)
compare <- data.frame(actual = as.numeric(test.data$stars),
predicted = predictions_m2)
OLS_MSE_m2<- mean((predictions_m2 - as.numeric(test.data$stars)) ^ 2) #Note how it outperforms OLS
OLS_MSE_m2 #1.332553## [1] 1.332553sqrt(OLS_MSE_m2) #1.154363## [1] 1.154363Model (2) has relative standard error (RMSE) of 1.154363.
model3 <- lm(as.numeric(stars) ~ useful.x + funny.x + cool.x + useful.y + funny.y + cool.y + average_stars + fans + review_count + compliment_profile + compliment_more + compliment_list + compliment_writer + compliment_plain + compliment_note, data = train.data)
summary(model3)##
## Call:
## lm(formula = as.numeric(stars) ~ useful.x + funny.x + cool.x +
## useful.y + funny.y + cool.y + average_stars + fans + review_count +
## compliment_profile + compliment_more + compliment_list +
## compliment_writer + compliment_plain + compliment_note, data = train.data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.5390 -0.6161 0.1098 0.7869 3.9941
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.846e-01 1.146e-02 24.844 < 2e-16 ***
## useful.x -1.804e-01 2.599e-03 -69.422 < 2e-16 ***
## funny.x -2.908e-01 5.034e-03 -57.779 < 2e-16 ***
## cool.x 4.093e-01 4.461e-03 91.764 < 2e-16 ***
## useful.y 2.207e-04 2.171e-05 10.164 < 2e-16 ***
## funny.y 1.679e-04 1.622e-05 10.354 < 2e-16 ***
## cool.y -3.306e-04 2.535e-05 -13.045 < 2e-16 ***
## average_stars 9.480e-01 2.937e-03 322.813 < 2e-16 ***
## fans -8.520e-04 1.713e-04 -4.972 6.62e-07 ***
## review_count -1.005e-04 2.200e-05 -4.569 4.89e-06 ***
## compliment_profile 2.920e-03 7.222e-04 4.043 5.27e-05 ***
## compliment_more 1.489e-03 1.020e-03 1.459 0.1445
## compliment_list -6.683e-03 1.400e-03 -4.772 1.82e-06 ***
## compliment_writer -9.540e-04 1.826e-04 -5.224 1.75e-07 ***
## compliment_plain 8.897e-05 3.618e-05 2.459 0.0139 *
## compliment_note -2.901e-04 1.611e-04 -1.801 0.0717 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.159 on 214285 degrees of freedom
## Multiple R-squared: 0.3767, Adjusted R-squared: 0.3767
## F-statistic: 8634 on 15 and 214285 DF, p-value: < 2.2e-16plot(model3)
predictions_m3 <- model3 %>% predict(test.data)
compare <- data.frame(actual = as.numeric(test.data$stars),
predicted = predictions_m3)
OLS_MSE_m3<- mean((predictions_m3 - as.numeric(test.data$stars)) ^ 2) #Note how it outperforms OLS
OLS_MSE_m3 #1.332569## [1] 1.332569sqrt(OLS_MSE_m3) #1.15437## [1] 1.15437The RMSE of OLS linear regression model 3 is 1.15437, which is exactly same as model 2. Therefore, we will focus on model 2 in the later analysis.
Ridge regression with similar variables may fit linear models better than OLS due to its reduced MSE.
library(glmnet)
library(ggplot2)
set.seed(1)
train_y <- train.data$stars
train_x <- data.matrix(train.data[, c('useful.x', 'funny.x', 'cool.x', 'useful.y', 'funny.y','cool.y', 'average_stars', 'compliment_hot', 'review_count', 'compliment_more', 'compliment_profile', 'compliment_cute', 'compliment_list', 'compliment_note', 'compliment_plain', 'compliment_cool', 'compliment_funny', 'compliment_writer', 'compliment_photos')])
test_y <- test.data$stars
test_x <- data.matrix(test.data[, c('useful.x', 'funny.x', 'cool.x', 'useful.y', 'funny.y','cool.y', 'average_stars', 'compliment_hot', 'review_count', 'compliment_more', 'compliment_profile', 'compliment_cute', 'compliment_list', 'compliment_note', 'compliment_plain', 'compliment_cool', 'compliment_funny', 'compliment_writer', 'compliment_photos')])
ridge.mod <- glmnet(as.matrix(train_x), as.matrix(train_y), alpha = 0, lambda = 3, thresh = 1e-12)
summary(ridge.mod)## Length Class Mode
## a0 1 -none- numeric
## beta 19 dgCMatrix S4
## df 1 -none- numeric
## dim 2 -none- numeric
## lambda 1 -none- numeric
## dev.ratio 1 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## call 6 -none- call
## nobs 1 -none- numeric#perform k-fold cross-validation to find optimal lambda value
cv_model <- cv.glmnet(as.matrix(train_x), as.matrix(train_y), alpha = 0, nfolds = 3)
#find optimal lambda value that minimizes test MSE
lambda_ridge_cv <- cv_model$lambda.min
lambda_ridge_cv #0.08563297## [1] 0.08563297#find optimal lambda value that minimizes test MSE
plot(cv_model)
Through cross-validation, the optimal lambda value for the ridge regression is 0.08563297, which is close to 0 such that estimators are similar to those in the OLS regression model.
#find coefficients of best model
best_model <- glmnet(as.matrix(train_x), as.matrix(train_y), alpha = 0, lambda = lambda_ridge_cv)
coef(best_model)## 20 x 1 sparse Matrix of class "dgCMatrix"
## s0
## (Intercept) 4.712431e-01
## useful.x -1.639940e-01
## funny.x -2.709432e-01
## cool.x 3.693931e-01
## useful.y 5.663224e-06
## funny.y 4.326904e-05
## cool.y -3.369284e-05
## average_stars 8.966077e-01
## compliment_hot 1.812210e-05
## review_count 1.932976e-05
## compliment_more 1.098679e-03
## compliment_profile 1.969881e-04
## compliment_cute -4.140345e-04
## compliment_list -4.367448e-04
## compliment_note -6.559900e-05
## compliment_plain -1.610055e-05
## compliment_cool 1.018373e-05
## compliment_funny 1.767924e-06
## compliment_writer -3.221865e-04
## compliment_photos -1.375251e-05#use fitted best model to make predictions
y_predicted <- predict(ridge.mod, s = lambda_ridge_cv, newx = test_x)
#find SST and SSE
sst <- sum((test_y - mean(test_y))^2)
sse <- sum((y_predicted - test_y)^2)
#find R-Squared
rsq <- 1 - sse/sst
rsq #0.2098919## [1] 0.2098919ridge_MSE<- mean((y_predicted - test_y) ^ 2) #Note how it outperforms OLS
ridge_MSE #1.711681## [1] 1.711573sqrt(ridge_MSE) #1.308312## [1] 1.308271Surprisingly, the ridge model does not outperform model (2), with higher RMSE.
cv.out2 <- cv.glmnet(as.matrix(train_x), as.matrix(train_y), alpha = 1, nfolds = 3)
plot(cv.out2)
lambda_LASSO_cv <- cv.out2$lambda.min #cross-validation is the lambda minimising empirical MSE in training data
#Re-Estimate Ridge with lambda chosen by Cross validation
LASSO.mod<-glmnet(train_x, train_y, alpha = 1, lambda = lambda_LASSO_cv, thresh = 1e-12)
coef(LASSO.mod) #note that some parameter estimates are set to 0 --> Model selection!## 20 x 1 sparse Matrix of class "dgCMatrix"
## s0
## (Intercept) 2.931258e-01
## useful.x -1.781591e-01
## funny.x -2.874858e-01
## cool.x 4.028259e-01
## useful.y 4.449382e-05
## funny.y 9.947998e-05
## cool.y -1.148718e-04
## average_stars 9.453907e-01
## compliment_hot .
## review_count -4.176264e-06
## compliment_more 5.870369e-04
## compliment_profile 5.624725e-04
## compliment_cute .
## compliment_list -7.601257e-04
## compliment_note -4.860426e-05
## compliment_plain .
## compliment_cool .
## compliment_funny .
## compliment_writer -5.333183e-04
## compliment_photos 6.076221e-05#Fit on Test Data
LASSO.pred <- predict(LASSO.mod, s = lambda_LASSO_cv, newx = as.matrix(test_x))
LASSO_MSE<- mean((LASSO.pred - test_y) ^ 2) #Note how it outperforms OLS
LASSO_MSE #1.332983## [1] 1.332983sqrt(LASSO_MSE) #1.154549## [1] 1.154549On contrary, the RMSE for LASSO regression and OLS model (2) are nearly same when using a similar set of variables. Although the stars are on a scale from 1 to 5, every single model has an MSE greater than 1, which is a relatively high value.
Decision Trees Analysis & Evaluation Decision tree analysis allows for more flexibility in the specification of the relationship between variables.
#What happens when you include all variables?
mod1 <- glm(stars ~ useful.x + funny.x + cool.x + useful.y + funny.y + cool.y + average_stars + fans + review_count + compliment_hot + compliment_more + compliment_profile + compliment_cute + compliment_list + compliment_note + compliment_plain + compliment_cool + compliment_funny + compliment_writer + compliment_photos, data = train.data)
#Review the results
coef(mod1) ## (Intercept) useful.x funny.x cool.x
## 2.842558e-01 -1.804919e-01 -2.906927e-01 4.095670e-01
## useful.y funny.y cool.y average_stars
## 2.287146e-04 1.707270e-04 -3.458890e-04 9.480708e-01
## fans review_count compliment_hot compliment_more
## -8.202690e-04 -1.012329e-04 4.486731e-05 1.726704e-03
## compliment_profile compliment_cute compliment_list compliment_note
## 2.428733e-03 1.882112e-05 -5.951561e-03 -3.677521e-04
## compliment_plain compliment_cool compliment_funny compliment_writer
## 1.079356e-04 -7.268215e-05 NA -9.797119e-04
## compliment_photos
## 1.946853e-04summary(mod1)##
## Call:
## glm(formula = stars ~ useful.x + funny.x + cool.x + useful.y +
## funny.y + cool.y + average_stars + fans + review_count +
## compliment_hot + compliment_more + compliment_profile + compliment_cute +
## compliment_list + compliment_note + compliment_plain + compliment_cool +
## compliment_funny + compliment_writer + compliment_photos,
## data = train.data)
##
## Coefficients: (1 not defined because of singularities)
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.843e-01 1.146e-02 24.810 < 2e-16 ***
## useful.x -1.805e-01 2.600e-03 -69.432 < 2e-16 ***
## funny.x -2.907e-01 5.034e-03 -57.744 < 2e-16 ***
## cool.x 4.096e-01 4.463e-03 91.762 < 2e-16 ***
## useful.y 2.287e-04 2.255e-05 10.144 < 2e-16 ***
## funny.y 1.707e-04 1.711e-05 9.976 < 2e-16 ***
## cool.y -3.459e-04 2.629e-05 -13.155 < 2e-16 ***
## average_stars 9.481e-01 2.937e-03 322.782 < 2e-16 ***
## fans -8.203e-04 1.779e-04 -4.610 4.03e-06 ***
## review_count -1.012e-04 2.270e-05 -4.459 8.24e-06 ***
## compliment_hot 4.487e-05 1.344e-04 0.334 0.738531
## compliment_more 1.727e-03 1.040e-03 1.660 0.096956 .
## compliment_profile 2.429e-03 7.959e-04 3.051 0.002277 **
## compliment_cute 1.882e-05 1.115e-03 0.017 0.986532
## compliment_list -5.952e-03 1.582e-03 -3.762 0.000168 ***
## compliment_note -3.678e-04 1.713e-04 -2.147 0.031785 *
## compliment_plain 1.079e-04 4.782e-05 2.257 0.023993 *
## compliment_cool -7.268e-05 1.206e-04 -0.603 0.546727
## compliment_funny NA NA NA NA
## compliment_writer -9.797e-04 2.175e-04 -4.505 6.64e-06 ***
## compliment_photos 1.947e-04 1.234e-04 1.577 0.114707
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 1.343088)
##
## Null deviance: 461746 on 214300 degrees of freedom
## Residual deviance: 287798 on 214281 degrees of freedom
## AIC: 671395
##
## Number of Fisher Scoring iterations: 2#Predicted Values for Test Data based on the model estimates
mod1_predict<-predict(mod1, newdata = test.data)#What happens when you exclude insignificant variables?
mod2 <- glm(stars ~ useful.x + funny.x + cool.x + useful.y + funny.y + cool.y + average_stars + fans + review_count + compliment_more + compliment_profile + compliment_list + compliment_note + compliment_plain + compliment_writer, data = train.data)
#Review the results
coef(mod2) ## (Intercept) useful.x funny.x cool.x
## 0.2845983894 -0.1804183805 -0.2908335602 0.4093356042
## useful.y funny.y cool.y average_stars
## 0.0002206878 0.0001679375 -0.0003306549 0.9480273608
## fans review_count compliment_more compliment_profile
## -0.0008520415 -0.0001005394 0.0014885031 0.0029200080
## compliment_list compliment_note compliment_plain compliment_writer
## -0.0066828037 -0.0002900916 0.0000889731 -0.0009539970summary(mod2)##
## Call:
## glm(formula = stars ~ useful.x + funny.x + cool.x + useful.y +
## funny.y + cool.y + average_stars + fans + review_count +
## compliment_more + compliment_profile + compliment_list +
## compliment_note + compliment_plain + compliment_writer, data = train.data)
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.846e-01 1.146e-02 24.844 < 2e-16 ***
## useful.x -1.804e-01 2.599e-03 -69.422 < 2e-16 ***
## funny.x -2.908e-01 5.034e-03 -57.779 < 2e-16 ***
## cool.x 4.093e-01 4.461e-03 91.764 < 2e-16 ***
## useful.y 2.207e-04 2.171e-05 10.164 < 2e-16 ***
## funny.y 1.679e-04 1.622e-05 10.354 < 2e-16 ***
## cool.y -3.306e-04 2.535e-05 -13.045 < 2e-16 ***
## average_stars 9.480e-01 2.937e-03 322.813 < 2e-16 ***
## fans -8.520e-04 1.713e-04 -4.972 6.62e-07 ***
## review_count -1.005e-04 2.200e-05 -4.569 4.89e-06 ***
## compliment_more 1.489e-03 1.020e-03 1.459 0.1445
## compliment_profile 2.920e-03 7.222e-04 4.043 5.27e-05 ***
## compliment_list -6.683e-03 1.400e-03 -4.772 1.82e-06 ***
## compliment_note -2.901e-04 1.611e-04 -1.801 0.0717 .
## compliment_plain 8.897e-05 3.618e-05 2.459 0.0139 *
## compliment_writer -9.540e-04 1.826e-04 -5.224 1.75e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 1.343094)
##
## Null deviance: 461746 on 214300 degrees of freedom
## Residual deviance: 287805 on 214285 degrees of freedom
## AIC: 671391
##
## Number of Fisher Scoring iterations: 2Classification tree will be implemented since stars were declared to be categorical variables.
library(tree)
set.seed(1)
train.data$stars <- as.factor(train.data$stars)
test.data$stars <- as.factor(test.data$stars)
train.data$useful.x <- as.factor(train.data$useful.x)
test.data$useful.x <- as.factor(test.data$useful.x)
train.data$funny.x <- as.factor(train.data$funny.x)
test.data$funny.x <- as.factor(test.data$funny.x)
train.data$cool.x <- as.factor(train.data$cool.x)
test.data$cool.x <- as.factor(test.data$cool.x)
#With tree library
tree1<-tree(stars ~ useful.x + funny.x + cool.x + useful.y + funny.y + cool.y + average_stars + fans + review_count + compliment_more + compliment_profile + compliment_list + compliment_note + compliment_plain + compliment_writer, data = train.data)
#partition graph
partition.tree(tree1)
points(train.data[, c("useful.x", "funny.x", "cool.x", "useful.y", "funny.y", "cool.y", "average_stars", "fans", "review_count", "compliment_more", "compliment_profile", "compliment_list", "compliment_note", "compliment_plain", "compliment_writer")], cex=.4)
plot(tree1)
text(tree1, pretty = 0)
title(main = "Unpruned Classification Tree")
library(rpart)
rpart_tree<-rpart(stars ~ useful.x + funny.x + cool.x + useful.y + funny.y + cool.y + average_stars + fans + review_count + compliment_more + compliment_profile + compliment_list + compliment_note + compliment_plain + compliment_writer, data = train.data)
rpart.plot(rpart_tree)
Predicting stars to be only 1 and 5 at probability of 17% and of 83% respectively, the decision tree is heavily influenced solely by average stars. The majority of each leave is roughly 50%, which suggests a poor predictability.
rpart_tree2<-rpart(stars ~ useful.x + funny.x + cool.x + useful.y + funny.y + cool.y + average_stars + fans + review_count + compliment_more + compliment_profile + compliment_list + compliment_note + compliment_plain + compliment_writer, data = train.data, control = rpart.control(maxdepth = 10, minsplit = 5, minbucket = 10000, cp = 0))
print(rpart_tree2)## n= 214301
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 214301 114253 5 (0.15 0.078 0.1 0.21 0.47)
## 2) average_stars< 3.005 35511 17072 1 (0.52 0.14 0.076 0.073 0.19) *
## 3) average_stars>=3.005 178790 85438 5 (0.074 0.065 0.1 0.23 0.52)
## 6) average_stars< 4.415 136244 78699 5 (0.093 0.083 0.13 0.27 0.42)
## 12) review_count< 64.5 79038 41305 5 (0.12 0.087 0.096 0.21 0.48) *
## 13) review_count>=64.5 57206 37143 4 (0.048 0.077 0.18 0.35 0.35)
## 26) average_stars< 4.025 38817 25050 4 (0.059 0.093 0.21 0.35 0.29) *
## 27) average_stars>=4.025 18389 9738 5 (0.026 0.041 0.12 0.34 0.47) *
## 7) average_stars>=4.415 42546 6739 5 (0.013 0.011 0.022 0.11 0.84) *rpart.plot(rpart_tree2, cex = 0.5)
#importance
rpart_tree2$variable.importance## average_stars review_count useful.y cool.y
## 1.798142e+04 2.742741e+03 2.054709e+03 1.253350e+03
## funny.y fans compliment_plain compliment_writer
## 1.186522e+03 1.134929e+03 1.090340e+03 1.212741e+00
## compliment_note
## 4.850965e-01In an effort to avoid over-fitting issue in the tree, the minimum bucket size is restricted to 10000 and the minimum split is limited to 5. Simultaneously, the maximum depth is capped to 10. The revised classification tree, shown in figure 4, incorporates both the number of reviews and the average star rating, resulting in more adaptable forecasts. The rating of stars is predicted to be 1 at 17%, 4 at 18% and 5 at 65%.
While decision trees are conceptually uncomplicated and easy to execute and visualize, small perturbations in the data can have significant impacts on the resulting tree. Hence, there might be a considerable amount of variance and inadequate accuracy in making predictions. We will apply several techniques including bagging, boosting, and random forest to enhance the accuracy of our predictions. Bagging is an approximately unbiased model. In random forests, the concept of bootstrap aggregation is utilized in conjunction with random trees. Boosting lets trees grow in a way that gets rid of bias.
library(ipred)
set.seed(1)
#fit the bagged model
bag <- bagging(stars ~ useful.x + funny.x + cool.x + useful.y + funny.y + cool.y + average_stars + fans + review_count + compliment_more + compliment_profile + compliment_list + compliment_note + compliment_plain + compliment_writer, data = train.data, nbagg = 100,
coob = TRUE, control = rpart.control(minsplit = 3, cp = 0.1)
)
#display fitted bagged model
bag##
## Bagging classification trees with 100 bootstrap replications
##
## Call: bagging.data.frame(formula = stars ~ useful.x + funny.x + cool.x +
## useful.y + funny.y + cool.y + average_stars + fans + review_count +
## compliment_more + compliment_profile + compliment_list +
## compliment_note + compliment_plain + compliment_writer, data = train.data,
## nbagg = 100, coob = TRUE, control = rpart.control(minsplit = 3,
## cp = 0.1))
##
## Out-of-bag estimate of misclassification error: 0.4798For bagging, the rate of misclassification error is relatively high, with an out-of-bag estimate of 0.4784. With 100 bootstrap replications, the bagging classification trees correctly forecast star ratings 52.16% of the time.
set.seed(1)
library(randomForest) #randomforest
model_RF <- randomForest(stars ~ useful.x + funny.x + cool.x + useful.y + funny.y + cool.y + average_stars + fans + review_count + compliment_more + compliment_profile + compliment_list + compliment_note + compliment_plain + compliment_writer, data = train.data, ntree=200)
pred_RF_test = predict(model_RF, test.data)
mean(model_RF[["err.rate"]]) #0.5907672 for 200 trees.## [1] 0.5907672Nevertheless, random forests do not perform well, with relatively high error rate of 0.5907672 for 200 trees.
library(adabag) #AdaBoost
# train a model using our training data
model_adaboost <- boosting(stars ~ useful.x + funny.x + cool.x + useful.y + funny.y + cool.y + average_stars + fans + review_count + compliment_more + compliment_profile + compliment_list + compliment_note + compliment_plain + compliment_writer, data = train.data, boos=TRUE, mfinal=50)
summary(model_adaboost)## Length Class Mode
## formula 3 formula call
## trees 50 -none- list
## weights 50 -none- numeric
## votes 1071505 -none- numeric
## prob 1071505 -none- numeric
## class 214301 -none- character
## importance 15 -none- numeric
## terms 3 terms call
## call 5 -none- call# Load data for Regression (this one is stored on R)
#use model to make predictions on test data
pred_ada_test = predict(model_adaboost, test.data)
# Returns the prediction values of test data along with the confusion matrix
pred_ada_test## $formula
## stars ~ useful.x + funny.x + cool.x + useful.y + funny.y + cool.y +
## average_stars + fans + review_count + compliment_more + compliment_profile +
## compliment_list + compliment_note + compliment_plain + compliment_writer
##
## $votes
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.00000000 0 0 0.000000000 1.148453536
## [2,] 0.00000000 0 0 0.000000000 1.148453536
## [3,] 0.00000000 0 0 0.723413030 0.425040506
## [4,] 0.00000000 0 0 0.000000000 1.148453536
## [5,] 0.00000000 0 0 0.000000000 1.148453536
## [6,] 0.81786967 0 0 0.000000000 0.330583863
## [7,] 0.00000000 0 0 0.028473036 1.119980499
## [8,] 0.00000000 0 0 0.723413030 0.425040506
## [9,] 0.00000000 0 0 0.000000000 1.148453536
## [10,] 0.02214649 0 0 0.000000000 1.126307045
## [11,] 0.00000000 0 0 0.678332364 0.470121171
## [12,] 0.00000000 0 0 0.000000000 1.148453536
## [13,] 0.81786967 0 0 0.000000000 0.330583863
## [14,] 0.00000000 0 0 0.052598179 1.095855357
## [15,] 0.00000000 0 0 0.000000000 1.148453536
## [16,] 0.00000000 0 0 0.723413030 0.425040506
## [17,] 0.00000000 0 0 0.000000000 1.148453536
## [18,] 0.81786967 0 0 0.000000000 0.330583863
## [19,] 1.14845354 0 0 0.000000000 0.000000000
## [20,] 0.00000000 0 0 0.000000000 1.148453536
## [21,] 0.00000000 0 0 0.000000000 1.148453536
## [22,] 0.02214649 0 0 0.000000000 1.126307045
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## [19742,] 0.00000000 0 0 0.723413030 0.425040506
## [19743,] 0.00000000 0 0 0.000000000 1.148453536
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## [19745,] 0.00000000 0 0 0.000000000 1.148453536
## [19746,] 0.00000000 0 0 0.000000000 1.148453536
## [19747,] 0.00000000 0 0 0.000000000 1.148453536
## [19748,] 0.00000000 0 0 0.000000000 1.148453536
## [19749,] 0.00000000 0 0 0.723413030 0.425040506
## [19750,] 0.81786967 0 0 0.000000000 0.330583863
## [19751,] 0.00000000 0 0 0.000000000 1.148453536
## [19752,] 0.00000000 0 0 0.000000000 1.148453536
## [19753,] 0.00000000 0 0 0.000000000 1.148453536
## [19754,] 0.00000000 0 0 0.292774123 0.855679413
## [19755,] 0.00000000 0 0 0.723413030 0.425040506
## [19756,] 0.00000000 0 0 0.000000000 1.148453536
## [19757,] 0.02214649 0 0 0.723413030 0.402894015
## [19758,] 0.00000000 0 0 0.028473036 1.119980499
## [19759,] 0.00000000 0 0 0.000000000 1.148453536
## [19760,] 0.06291082 0 0 0.000000000 1.085542719
## [19761,] 0.00000000 0 0 0.000000000 1.148453536
## [19762,] 0.00000000 0 0 0.000000000 1.148453536
## [19763,] 0.00000000 0 0 0.028473036 1.119980499
## [19764,] 1.14845354 0 0 0.000000000 0.000000000
## [19765,] 0.00000000 0 0 0.000000000 1.148453536
## [19766,] 0.00000000 0 0 0.000000000 1.148453536
## [19767,] 0.02214649 0 0 0.000000000 1.126307045
## [19768,] 0.00000000 0 0 0.723413030 0.425040506
## [19769,] 0.00000000 0 0 0.723413030 0.425040506
## [19770,] 0.00000000 0 0 0.000000000 1.148453536
## [19771,] 0.00000000 0 0 0.000000000 1.148453536
## [19772,] 0.00000000 0 0 0.000000000 1.148453536
## [19773,] 1.14845354 0 0 0.000000000 0.000000000
## [19774,] 0.00000000 0 0 0.657540338 0.490913198
## [19775,] 0.00000000 0 0 0.000000000 1.148453536
## [19776,] 0.00000000 0 0 0.723413030 0.425040506
## [19777,] 0.00000000 0 0 0.052598179 1.095855357
## [19778,] 0.00000000 0 0 0.000000000 1.148453536
## [19779,] 0.00000000 0 0 0.000000000 1.148453536
## [19780,] 0.02214649 0 0 0.000000000 1.126307045
## [19781,] 1.03899291 0 0 0.000000000 0.109460626
## [19782,] 0.00000000 0 0 0.000000000 1.148453536
## [19783,] 0.00000000 0 0 0.000000000 1.148453536
## [19784,] 0.00000000 0 0 0.723413030 0.425040506
## [19785,] 0.00000000 0 0 0.723413030 0.425040506
## [19786,] 0.00000000 0 0 0.723413030 0.425040506
## [19787,] 0.00000000 0 0 0.000000000 1.148453536
## [19788,] 0.00000000 0 0 0.000000000 1.148453536
## [19789,] 0.00000000 0 0 0.000000000 1.148453536
## [19790,] 0.06291082 0 0 0.000000000 1.085542719
## [19791,] 0.00000000 0 0 0.694939993 0.453513543
## [19792,] 0.00000000 0 0 0.723413030 0.425040506
## [19793,] 0.00000000 0 0 0.000000000 1.148453536
## [19794,] 0.00000000 0 0 0.723413030 0.425040506
## [19795,] 0.00000000 0 0 0.723413030 0.425040506
## [19796,] 0.00000000 0 0 0.000000000 1.148453536
## [19797,] 0.00000000 0 0 0.000000000 1.148453536
## [19798,] 0.00000000 0 0 0.000000000 1.148453536
## [19799,] 1.14845354 0 0 0.000000000 0.000000000
## [19800,] 0.81786967 0 0 0.000000000 0.330583863
## [19801,] 0.00000000 0 0 0.000000000 1.148453536
## [19802,] 1.14845354 0 0 0.000000000 0.000000000
## [19803,] 0.02214649 0 0 0.723413030 0.402894015
## [19804,] 0.00000000 0 0 0.247229727 0.901223809
## [19805,] 0.00000000 0 0 0.723413030 0.425040506
## [19806,] 0.00000000 0 0 0.000000000 1.148453536
## [19807,] 0.00000000 0 0 0.000000000 1.148453536
## [19808,] 0.00000000 0 0 0.723413030 0.425040506
## [19809,] 0.00000000 0 0 0.507808341 0.640645195
## [19810,] 0.00000000 0 0 0.000000000 1.148453536
## [19811,] 0.00000000 0 0 0.000000000 1.148453536
## [19812,] 0.00000000 0 0 0.000000000 1.148453536
## [19813,] 0.00000000 0 0 0.723413030 0.425040506
## [19814,] 0.00000000 0 0 0.000000000 1.148453536
## [19815,] 0.00000000 0 0 0.723413030 0.425040506
## [19816,] 0.00000000 0 0 0.000000000 1.148453536
## [19817,] 0.00000000 0 0 0.292774123 0.855679413
## [19818,] 0.00740958 0 0 0.028473036 1.112570919
## [19819,] 0.00000000 0 0 0.000000000 1.148453536
## [19820,] 0.00000000 0 0 0.000000000 1.148453536
## [19821,] 0.00000000 0 0 0.723413030 0.425040506
## [19822,] 0.00000000 0 0 0.000000000 1.148453536
## [19823,] 0.00000000 0 0 0.168814289 0.979639247
## [19824,] 0.00000000 0 0 0.000000000 1.148453536
## [19825,] 0.00000000 0 0 0.000000000 1.148453536
## [19826,] 0.02214649 0 0 0.000000000 1.126307045
## [19827,] 0.06291082 0 0 0.000000000 1.085542719
## [19828,] 0.81786967 0 0 0.286865827 0.043718035
## [19829,] 0.00000000 0 0 0.000000000 1.148453536
## [19830,] 0.06291082 0 0 0.000000000 1.085542719
## [19831,] 0.00000000 0 0 0.000000000 1.148453536
## [19832,] 0.00000000 0 0 0.723413030 0.425040506
## [19833,] 0.00000000 0 0 0.723413030 0.425040506
## [19834,] 0.00000000 0 0 0.000000000 1.148453536
## [19835,] 0.00000000 0 0 0.000000000 1.148453536
## [19836,] 0.00000000 0 0 0.000000000 1.148453536
## [19837,] 0.06291082 0 0 0.000000000 1.085542719
## [19838,] 0.00000000 0 0 0.000000000 1.148453536
## [19839,] 1.14845354 0 0 0.000000000 0.000000000
## [19840,] 0.00000000 0 0 0.723413030 0.425040506
## [19841,] 0.00000000 0 0 0.000000000 1.148453536
## [19842,] 0.02214649 0 0 0.000000000 1.126307045
## [19843,] 0.00000000 0 0 0.000000000 1.148453536
## [19844,] 0.00000000 0 0 0.000000000 1.148453536
## [19845,] 0.81786967 0 0 0.308239139 0.022344723
## [19846,] 0.00000000 0 0 0.000000000 1.148453536
## [19847,] 0.85881130 0 0 0.000000000 0.289642231
## [19848,] 1.14845354 0 0 0.000000000 0.000000000
## [19849,] 0.02214649 0 0 0.000000000 1.126307045
## [19850,] 0.00000000 0 0 0.657540338 0.490913198
## [19851,] 0.00000000 0 0 0.000000000 1.148453536
## [19852,] 0.00000000 0 0 0.000000000 1.148453536
## [19853,] 0.00000000 0 0 0.000000000 1.148453536
## [19854,] 0.17713184 0 0 0.028473036 0.942848657
## [19855,] 0.00000000 0 0 0.052598179 1.095855357
## [19856,] 0.00740958 0 0 0.723413030 0.417630926
## [19857,] 0.00000000 0 0 0.264301087 0.884152449
## [19858,] 0.00000000 0 0 0.000000000 1.148453536
## [19859,] 0.06291082 0 0 0.723413030 0.362129690
## [19860,] 0.00000000 0 0 0.000000000 1.148453536
## [19861,] 0.00000000 0 0 0.000000000 1.148453536
## [19862,] 0.00000000 0 0 0.292774123 0.855679413
## [19863,] 0.00000000 0 0 0.000000000 1.148453536
## [19864,] 0.00000000 0 0 0.000000000 1.148453536
## [19865,] 0.00000000 0 0 0.000000000 1.148453536
## [19866,] 0.00000000 0 0 0.000000000 1.148453536
## [19867,] 0.00000000 0 0 0.000000000 1.148453536
## [19868,] 0.00000000 0 0 0.000000000 1.148453536
## [19869,] 0.00000000 0 0 0.000000000 1.148453536
## [19870,] 0.00000000 0 0 0.028473036 1.119980499
## [19871,] 1.14845354 0 0 0.000000000 0.000000000
## [19872,] 0.00000000 0 0 0.723413030 0.425040506
## [19873,] 0.00000000 0 0 0.000000000 1.148453536
## [19874,] 0.00000000 0 0 0.000000000 1.148453536
## [19875,] 1.14845354 0 0 0.000000000 0.000000000
## [19876,] 0.00000000 0 0 0.000000000 1.148453536
## [19877,] 1.14845354 0 0 0.000000000 0.000000000
## [19878,] 0.00000000 0 0 0.706805401 0.441648135
## [19879,] 0.81786967 0 0 0.000000000 0.330583863
## [19880,] 0.00000000 0 0 0.000000000 1.148453536
## [19881,] 1.14845354 0 0 0.000000000 0.000000000
## [19882,] 0.00000000 0 0 0.000000000 1.148453536
## [19883,] 0.81786967 0 0 0.000000000 0.330583863
## [19884,] 0.00000000 0 0 0.723413030 0.425040506
## [19885,] 0.00000000 0 0 0.694939993 0.453513543
## [19886,] 0.00000000 0 0 0.000000000 1.148453536
## [19887,] 0.00000000 0 0 0.000000000 1.148453536
## [19888,] 0.00000000 0 0 0.723413030 0.425040506
## [19889,] 0.00000000 0 0 0.000000000 1.148453536
## [19890,] 0.00000000 0 0 0.000000000 1.148453536
## [19891,] 1.03899291 0 0 0.000000000 0.109460626
## [19892,] 1.03899291 0 0 0.000000000 0.109460626
## [19893,] 0.00000000 0 0 0.000000000 1.148453536
## [19894,] 0.00000000 0 0 0.000000000 1.148453536
## [19895,] 0.81786967 0 0 0.000000000 0.330583863
## [19896,] 0.00000000 0 0 0.000000000 1.148453536
## [19897,] 0.00000000 0 0 0.000000000 1.148453536
## [19898,] 0.00000000 0 0 0.000000000 1.148453536
## [19899,] 0.00000000 0 0 0.000000000 1.148453536
## [19900,] 0.00000000 0 0 0.000000000 1.148453536
## [19901,] 0.02214649 0 0 0.000000000 1.126307045
## [19902,] 0.00000000 0 0 0.000000000 1.148453536
## [19903,] 0.00000000 0 0 0.000000000 1.148453536
## [19904,] 0.00000000 0 0 0.000000000 1.148453536
## [19905,] 0.00000000 0 0 0.052598179 1.095855357
## [19906,] 0.00000000 0 0 0.000000000 1.148453536
## [19907,] 0.00000000 0 0 0.000000000 1.148453536
## [19908,] 0.02214649 0 0 0.723413030 0.402894015
## [19909,] 0.00000000 0 0 0.723413030 0.425040506
## [19910,] 0.00000000 0 0 0.000000000 1.148453536
## [19911,] 0.00000000 0 0 0.000000000 1.148453536
## [19912,] 0.00000000 0 0 0.000000000 1.148453536
## [19913,] 0.00000000 0 0 0.723413030 0.425040506
## [19914,] 0.00000000 0 0 0.723413030 0.425040506
## [19915,] 0.00000000 0 0 0.000000000 1.148453536
## [19916,] 0.00000000 0 0 0.000000000 1.148453536
## [19917,] 0.00000000 0 0 0.000000000 1.148453536
## [19918,] 0.00000000 0 0 0.000000000 1.148453536
## [19919,] 0.00000000 0 0 0.000000000 1.148453536
## [19920,] 1.14845354 0 0 0.000000000 0.000000000
## [19921,] 1.14845354 0 0 0.000000000 0.000000000
## [19922,] 0.00000000 0 0 0.000000000 1.148453536
## [19923,] 0.00000000 0 0 0.000000000 1.148453536
## [19924,] 0.00000000 0 0 0.723413030 0.425040506
## [19925,] 0.00000000 0 0 0.000000000 1.148453536
## [19926,] 0.00000000 0 0 0.723413030 0.425040506
## [19927,] 1.14845354 0 0 0.000000000 0.000000000
## [19928,] 0.00000000 0 0 0.723413030 0.425040506
## [19929,] 0.00000000 0 0 0.723413030 0.425040506
## [19930,] 0.00000000 0 0 0.000000000 1.148453536
## [19931,] 0.00000000 0 0 0.123542701 1.024910835
## [19932,] 0.00000000 0 0 0.000000000 1.148453536
## [19933,] 0.00000000 0 0 0.000000000 1.148453536
## [19934,] 0.00000000 0 0 0.723413030 0.425040506
## [19935,] 0.00000000 0 0 0.655540335 0.492913200
## [19936,] 0.00000000 0 0 0.000000000 1.148453536
## [19937,] 0.81786967 0 0 0.000000000 0.330583863
## [19938,] 0.00000000 0 0 0.723413030 0.425040506
## [19939,] 0.00000000 0 0 0.000000000 1.148453536
## [19940,] 0.00000000 0 0 0.723413030 0.425040506
## [19941,] 0.00000000 0 0 0.000000000 1.148453536
## [19942,] 0.00000000 0 0 0.000000000 1.148453536
## [19943,] 0.02214649 0 0 0.000000000 1.126307045
## [19944,] 0.00000000 0 0 0.052598179 1.095855357
## [19945,] 0.00000000 0 0 0.000000000 1.148453536
## [19946,] 1.14845354 0 0 0.000000000 0.000000000
## [19947,] 0.00000000 0 0 0.000000000 1.148453536
## [19948,] 0.00000000 0 0 0.000000000 1.148453536
## [19949,] 1.14845354 0 0 0.000000000 0.000000000
## [19950,] 0.85881130 0 0 0.000000000 0.289642231
## [19951,] 0.00000000 0 0 0.000000000 1.148453536
## [19952,] 0.00000000 0 0 0.000000000 1.148453536
## [19953,] 0.00000000 0 0 0.000000000 1.148453536
## [19954,] 0.00000000 0 0 0.000000000 1.148453536
## [19955,] 0.00000000 0 0 0.000000000 1.148453536
## [19956,] 0.00000000 0 0 0.000000000 1.148453536
## [19957,] 0.00000000 0 0 0.000000000 1.148453536
## [19958,] 1.03899291 0 0 0.000000000 0.109460626
## [19959,] 0.00000000 0 0 0.655540335 0.492913200
## [19960,] 0.02214649 0 0 0.000000000 1.126307045
## [19961,] 0.00000000 0 0 0.013647065 1.134806471
## [19962,] 1.14845354 0 0 0.000000000 0.000000000
## [19963,] 0.00000000 0 0 0.000000000 1.148453536
## [19964,] 0.00000000 0 0 0.000000000 1.148453536
## [19965,] 0.00000000 0 0 0.000000000 1.148453536
## [19966,] 0.00000000 0 0 0.009099727 1.139353808
## [19967,] 1.14845354 0 0 0.000000000 0.000000000
## [19968,] 0.00000000 0 0 0.723413030 0.425040506
## [19969,] 0.00000000 0 0 0.000000000 1.148453536
## [19970,] 0.00000000 0 0 0.000000000 1.148453536
## [19971,] 0.00000000 0 0 0.000000000 1.148453536
## [19972,] 0.00000000 0 0 0.723413030 0.425040506
## [19973,] 0.02214649 0 0 0.000000000 1.126307045
## [19974,] 0.95120659 0 0 0.000000000 0.197246946
## [19975,] 0.00000000 0 0 0.000000000 1.148453536
## [19976,] 0.00000000 0 0 0.000000000 1.148453536
## [19977,] 0.00000000 0 0 0.000000000 1.148453536
## [19978,] 0.00000000 0 0 0.694939993 0.453513543
## [19979,] 0.00000000 0 0 0.000000000 1.148453536
## [19980,] 1.03899291 0 0 0.000000000 0.109460626
## [19981,] 0.00000000 0 0 0.000000000 1.148453536
## [19982,] 0.81786967 0 0 0.000000000 0.330583863
## [19983,] 0.00000000 0 0 0.000000000 1.148453536
## [19984,] 1.14845354 0 0 0.000000000 0.000000000
## [19985,] 1.08543759 0 0 0.000000000 0.063015944
## [19986,] 0.00000000 0 0 0.000000000 1.148453536
## [19987,] 0.00000000 0 0 0.226901432 0.921552104
## [19988,] 0.00000000 0 0 0.028473036 1.119980499
## [19989,] 0.00000000 0 0 0.000000000 1.148453536
## [19990,] 0.00000000 0 0 0.000000000 1.148453536
## [19991,] 0.00000000 0 0 0.655540335 0.492913200
## [19992,] 0.00000000 0 0 0.000000000 1.148453536
## [19993,] 0.00000000 0 0 0.000000000 1.148453536
## [19994,] 0.00000000 0 0 0.507808341 0.640645195
## [19995,] 0.00000000 0 0 0.723413030 0.425040506
## [19996,] 0.00000000 0 0 0.000000000 1.148453536
## [19997,] 0.00000000 0 0 0.000000000 1.148453536
## [19998,] 0.00000000 0 0 0.000000000 1.148453536
## [19999,] 1.14845354 0 0 0.000000000 0.000000000
## [ reached getOption("max.print") -- omitted 33576 rows ]
##
## $prob
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.000000000 0 0 0.000000000 1.000000000
## [2,] 0.000000000 0 0 0.000000000 1.000000000
## [3,] 0.000000000 0 0 0.629901870 0.370098130
## [4,] 0.000000000 0 0 0.000000000 1.000000000
## [5,] 0.000000000 0 0 0.000000000 1.000000000
## [6,] 0.712148683 0 0 0.000000000 0.287851317
## [7,] 0.000000000 0 0 0.024792502 0.975207498
## [8,] 0.000000000 0 0 0.629901870 0.370098130
## [9,] 0.000000000 0 0 0.000000000 1.000000000
## [10,] 0.019283750 0 0 0.000000000 0.980716250
## [11,] 0.000000000 0 0 0.590648505 0.409351495
## [12,] 0.000000000 0 0 0.000000000 1.000000000
## [13,] 0.712148683 0 0 0.000000000 0.287851317
## [14,] 0.000000000 0 0 0.045799135 0.954200865
## [15,] 0.000000000 0 0 0.000000000 1.000000000
## [16,] 0.000000000 0 0 0.629901870 0.370098130
## [17,] 0.000000000 0 0 0.000000000 1.000000000
## [18,] 0.712148683 0 0 0.000000000 0.287851317
## [19,] 1.000000000 0 0 0.000000000 0.000000000
## [20,] 0.000000000 0 0 0.000000000 1.000000000
## [21,] 0.000000000 0 0 0.000000000 1.000000000
## [22,] 0.019283750 0 0 0.000000000 0.980716250
## [23,] 0.000000000 0 0 0.628160395 0.371839605
## [24,] 1.000000000 0 0 0.000000000 0.000000000
## [25,] 0.000000000 0 0 0.000000000 1.000000000
## [26,] 0.712148683 0 0 0.000000000 0.287851317
## [27,] 0.000000000 0 0 0.615441007 0.384558993
## [28,] 0.712148683 0 0 0.000000000 0.287851317
## [29,] 0.000000000 0 0 0.629901870 0.370098130
## [30,] 0.000000000 0 0 0.000000000 1.000000000
## [31,] 0.000000000 0 0 0.000000000 1.000000000
## [32,] 0.000000000 0 0 0.629901870 0.370098130
## [33,] 0.747798042 0 0 0.000000000 0.252201958
## [34,] 1.000000000 0 0 0.000000000 0.000000000
## [35,] 0.000000000 0 0 0.000000000 1.000000000
## [36,] 0.000000000 0 0 0.024792502 0.975207498
## [37,] 0.000000000 0 0 0.000000000 1.000000000
## [38,] 0.000000000 0 0 0.000000000 1.000000000
## [39,] 1.000000000 0 0 0.000000000 0.000000000
## [40,] 0.712148683 0 0 0.000000000 0.287851317
## [41,] 0.000000000 0 0 0.000000000 1.000000000
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## [44,] 0.019283750 0 0 0.629901870 0.350814380
## [45,] 0.000000000 0 0 0.000000000 1.000000000
## [46,] 0.000000000 0 0 0.000000000 1.000000000
## [47,] 0.000000000 0 0 0.000000000 1.000000000
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## [50,] 0.712148683 0 0 0.000000000 0.287851317
## [51,] 0.000000000 0 0 0.000000000 1.000000000
## [52,] 0.000000000 0 0 0.629901870 0.370098130
## [53,] 0.000000000 0 0 0.000000000 1.000000000
## [54,] 0.000000000 0 0 0.629901870 0.370098130
## [55,] 0.000000000 0 0 0.629901870 0.370098130
## [56,] 0.000000000 0 0 0.011882993 0.988117007
## [57,] 0.000000000 0 0 0.000000000 1.000000000
## [58,] 0.000000000 0 0 0.629901870 0.370098130
## [59,] 0.000000000 0 0 0.000000000 1.000000000
## [60,] 0.000000000 0 0 0.000000000 1.000000000
## [61,] 1.000000000 0 0 0.000000000 0.000000000
## [62,] 0.000000000 0 0 0.629901870 0.370098130
## [63,] 0.000000000 0 0 0.000000000 1.000000000
## [64,] 0.054778722 0 0 0.629901870 0.315319409
## [65,] 0.000000000 0 0 0.605109368 0.394890632
## [66,] 0.000000000 0 0 0.000000000 1.000000000
## [67,] 0.000000000 0 0 0.206762173 0.793237827
## [68,] 0.000000000 0 0 0.000000000 1.000000000
## [69,] 0.000000000 0 0 0.000000000 1.000000000
## [70,] 0.000000000 0 0 0.629901870 0.370098130
## [71,] 0.000000000 0 0 0.000000000 1.000000000
## [72,] 0.712148683 0 0 0.000000000 0.287851317
## [73,] 0.000000000 0 0 0.000000000 1.000000000
## [74,] 0.000000000 0 0 0.000000000 1.000000000
## [75,] 1.000000000 0 0 0.000000000 0.000000000
## [76,] 0.000000000 0 0 0.000000000 1.000000000
## [77,] 0.747798042 0 0 0.000000000 0.252201958
## [78,] 0.000000000 0 0 0.000000000 1.000000000
## [79,] 0.000000000 0 0 0.000000000 1.000000000
## [80,] 0.000000000 0 0 0.000000000 1.000000000
## [81,] 0.000000000 0 0 0.000000000 1.000000000
## [82,] 0.000000000 0 0 0.000000000 1.000000000
## [83,] 0.000000000 0 0 0.000000000 1.000000000
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## [19732,] 0.000000000 0 0 0.000000000 1.000000000
## [19733,] 0.000000000 0 0 0.000000000 1.000000000
## [19734,] 0.712148683 0 0 0.000000000 0.287851317
## [19735,] 0.000000000 0 0 0.000000000 1.000000000
## [19736,] 0.054778722 0 0 0.629901870 0.315319409
## [19737,] 0.000000000 0 0 0.629901870 0.370098130
## [19738,] 0.019283750 0 0 0.000000000 0.980716250
## [19739,] 0.000000000 0 0 0.629901870 0.370098130
## [19740,] 0.000000000 0 0 0.629901870 0.370098130
## [19741,] 1.000000000 0 0 0.000000000 0.000000000
## [19742,] 0.000000000 0 0 0.629901870 0.370098130
## [19743,] 0.000000000 0 0 0.000000000 1.000000000
## [19744,] 0.904688677 0 0 0.000000000 0.095311323
## [19745,] 0.000000000 0 0 0.000000000 1.000000000
## [19746,] 0.000000000 0 0 0.000000000 1.000000000
## [19747,] 0.000000000 0 0 0.000000000 1.000000000
## [19748,] 0.000000000 0 0 0.000000000 1.000000000
## [19749,] 0.000000000 0 0 0.629901870 0.370098130
## [19750,] 0.712148683 0 0 0.000000000 0.287851317
## [19751,] 0.000000000 0 0 0.000000000 1.000000000
## [19752,] 0.000000000 0 0 0.000000000 1.000000000
## [19753,] 0.000000000 0 0 0.000000000 1.000000000
## [19754,] 0.000000000 0 0 0.254929010 0.745070990
## [19755,] 0.000000000 0 0 0.629901870 0.370098130
## [19756,] 0.000000000 0 0 0.000000000 1.000000000
## [19757,] 0.019283750 0 0 0.629901870 0.350814380
## [19758,] 0.000000000 0 0 0.024792502 0.975207498
## [19759,] 0.000000000 0 0 0.000000000 1.000000000
## [19760,] 0.054778722 0 0 0.000000000 0.945221278
## [19761,] 0.000000000 0 0 0.000000000 1.000000000
## [19762,] 0.000000000 0 0 0.000000000 1.000000000
## [19763,] 0.000000000 0 0 0.024792502 0.975207498
## [19764,] 1.000000000 0 0 0.000000000 0.000000000
## [19765,] 0.000000000 0 0 0.000000000 1.000000000
## [19766,] 0.000000000 0 0 0.000000000 1.000000000
## [19767,] 0.019283750 0 0 0.000000000 0.980716250
## [19768,] 0.000000000 0 0 0.629901870 0.370098130
## [19769,] 0.000000000 0 0 0.629901870 0.370098130
## [19770,] 0.000000000 0 0 0.000000000 1.000000000
## [19771,] 0.000000000 0 0 0.000000000 1.000000000
## [19772,] 0.000000000 0 0 0.000000000 1.000000000
## [19773,] 1.000000000 0 0 0.000000000 0.000000000
## [19774,] 0.000000000 0 0 0.572544137 0.427455863
## [19775,] 0.000000000 0 0 0.000000000 1.000000000
## [19776,] 0.000000000 0 0 0.629901870 0.370098130
## [19777,] 0.000000000 0 0 0.045799135 0.954200865
## [19778,] 0.000000000 0 0 0.000000000 1.000000000
## [19779,] 0.000000000 0 0 0.000000000 1.000000000
## [19780,] 0.019283750 0 0 0.000000000 0.980716250
## [19781,] 0.904688677 0 0 0.000000000 0.095311323
## [19782,] 0.000000000 0 0 0.000000000 1.000000000
## [19783,] 0.000000000 0 0 0.000000000 1.000000000
## [19784,] 0.000000000 0 0 0.629901870 0.370098130
## [19785,] 0.000000000 0 0 0.629901870 0.370098130
## [19786,] 0.000000000 0 0 0.629901870 0.370098130
## [19787,] 0.000000000 0 0 0.000000000 1.000000000
## [19788,] 0.000000000 0 0 0.000000000 1.000000000
## [19789,] 0.000000000 0 0 0.000000000 1.000000000
## [19790,] 0.054778722 0 0 0.000000000 0.945221278
## [19791,] 0.000000000 0 0 0.605109368 0.394890632
## [19792,] 0.000000000 0 0 0.629901870 0.370098130
## [19793,] 0.000000000 0 0 0.000000000 1.000000000
## [19794,] 0.000000000 0 0 0.629901870 0.370098130
## [19795,] 0.000000000 0 0 0.629901870 0.370098130
## [19796,] 0.000000000 0 0 0.000000000 1.000000000
## [19797,] 0.000000000 0 0 0.000000000 1.000000000
## [19798,] 0.000000000 0 0 0.000000000 1.000000000
## [19799,] 1.000000000 0 0 0.000000000 0.000000000
## [19800,] 0.712148683 0 0 0.000000000 0.287851317
## [19801,] 0.000000000 0 0 0.000000000 1.000000000
## [19802,] 1.000000000 0 0 0.000000000 0.000000000
## [19803,] 0.019283750 0 0 0.629901870 0.350814380
## [19804,] 0.000000000 0 0 0.215271858 0.784728142
## [19805,] 0.000000000 0 0 0.629901870 0.370098130
## [19806,] 0.000000000 0 0 0.000000000 1.000000000
## [19807,] 0.000000000 0 0 0.000000000 1.000000000
## [19808,] 0.000000000 0 0 0.629901870 0.370098130
## [19809,] 0.000000000 0 0 0.442167075 0.557832925
## [19810,] 0.000000000 0 0 0.000000000 1.000000000
## [19811,] 0.000000000 0 0 0.000000000 1.000000000
## [19812,] 0.000000000 0 0 0.000000000 1.000000000
## [19813,] 0.000000000 0 0 0.629901870 0.370098130
## [19814,] 0.000000000 0 0 0.000000000 1.000000000
## [19815,] 0.000000000 0 0 0.629901870 0.370098130
## [19816,] 0.000000000 0 0 0.000000000 1.000000000
## [19817,] 0.000000000 0 0 0.254929010 0.745070990
## [19818,] 0.006451789 0 0 0.024792502 0.968755709
## [19819,] 0.000000000 0 0 0.000000000 1.000000000
## [19820,] 0.000000000 0 0 0.000000000 1.000000000
## [19821,] 0.000000000 0 0 0.629901870 0.370098130
## [19822,] 0.000000000 0 0 0.000000000 1.000000000
## [19823,] 0.000000000 0 0 0.146992702 0.853007298
## [19824,] 0.000000000 0 0 0.000000000 1.000000000
## [19825,] 0.000000000 0 0 0.000000000 1.000000000
## [19826,] 0.019283750 0 0 0.000000000 0.980716250
## [19827,] 0.054778722 0 0 0.000000000 0.945221278
## [19828,] 0.712148683 0 0 0.249784444 0.038066873
## [19829,] 0.000000000 0 0 0.000000000 1.000000000
## [19830,] 0.054778722 0 0 0.000000000 0.945221278
## [19831,] 0.000000000 0 0 0.000000000 1.000000000
## [19832,] 0.000000000 0 0 0.629901870 0.370098130
## [19833,] 0.000000000 0 0 0.629901870 0.370098130
## [19834,] 0.000000000 0 0 0.000000000 1.000000000
## [19835,] 0.000000000 0 0 0.000000000 1.000000000
## [19836,] 0.000000000 0 0 0.000000000 1.000000000
## [19837,] 0.054778722 0 0 0.000000000 0.945221278
## [19838,] 0.000000000 0 0 0.000000000 1.000000000
## [19839,] 1.000000000 0 0 0.000000000 0.000000000
## [19840,] 0.000000000 0 0 0.629901870 0.370098130
## [19841,] 0.000000000 0 0 0.000000000 1.000000000
## [19842,] 0.019283750 0 0 0.000000000 0.980716250
## [19843,] 0.000000000 0 0 0.000000000 1.000000000
## [19844,] 0.000000000 0 0 0.000000000 1.000000000
## [19845,] 0.712148683 0 0 0.268394959 0.019456358
## [19846,] 0.000000000 0 0 0.000000000 1.000000000
## [19847,] 0.747798042 0 0 0.000000000 0.252201958
## [19848,] 1.000000000 0 0 0.000000000 0.000000000
## [19849,] 0.019283750 0 0 0.000000000 0.980716250
## [19850,] 0.000000000 0 0 0.572544137 0.427455863
## [19851,] 0.000000000 0 0 0.000000000 1.000000000
## [19852,] 0.000000000 0 0 0.000000000 1.000000000
## [19853,] 0.000000000 0 0 0.000000000 1.000000000
## [19854,] 0.154235097 0 0 0.024792502 0.820972401
## [19855,] 0.000000000 0 0 0.045799135 0.954200865
## [19856,] 0.006451789 0 0 0.629901870 0.363646341
## [19857,] 0.000000000 0 0 0.230136508 0.769863492
## [19858,] 0.000000000 0 0 0.000000000 1.000000000
## [19859,] 0.054778722 0 0 0.629901870 0.315319409
## [19860,] 0.000000000 0 0 0.000000000 1.000000000
## [19861,] 0.000000000 0 0 0.000000000 1.000000000
## [19862,] 0.000000000 0 0 0.254929010 0.745070990
## [19863,] 0.000000000 0 0 0.000000000 1.000000000
## [19864,] 0.000000000 0 0 0.000000000 1.000000000
## [19865,] 0.000000000 0 0 0.000000000 1.000000000
## [19866,] 0.000000000 0 0 0.000000000 1.000000000
## [19867,] 0.000000000 0 0 0.000000000 1.000000000
## [19868,] 0.000000000 0 0 0.000000000 1.000000000
## [19869,] 0.000000000 0 0 0.000000000 1.000000000
## [19870,] 0.000000000 0 0 0.024792502 0.975207498
## [19871,] 1.000000000 0 0 0.000000000 0.000000000
## [19872,] 0.000000000 0 0 0.629901870 0.370098130
## [19873,] 0.000000000 0 0 0.000000000 1.000000000
## [19874,] 0.000000000 0 0 0.000000000 1.000000000
## [19875,] 1.000000000 0 0 0.000000000 0.000000000
## [19876,] 0.000000000 0 0 0.000000000 1.000000000
## [19877,] 1.000000000 0 0 0.000000000 0.000000000
## [19878,] 0.000000000 0 0 0.615441007 0.384558993
## [19879,] 0.712148683 0 0 0.000000000 0.287851317
## [19880,] 0.000000000 0 0 0.000000000 1.000000000
## [19881,] 1.000000000 0 0 0.000000000 0.000000000
## [19882,] 0.000000000 0 0 0.000000000 1.000000000
## [19883,] 0.712148683 0 0 0.000000000 0.287851317
## [19884,] 0.000000000 0 0 0.629901870 0.370098130
## [19885,] 0.000000000 0 0 0.605109368 0.394890632
## [19886,] 0.000000000 0 0 0.000000000 1.000000000
## [19887,] 0.000000000 0 0 0.000000000 1.000000000
## [19888,] 0.000000000 0 0 0.629901870 0.370098130
## [19889,] 0.000000000 0 0 0.000000000 1.000000000
## [19890,] 0.000000000 0 0 0.000000000 1.000000000
## [19891,] 0.904688677 0 0 0.000000000 0.095311323
## [19892,] 0.904688677 0 0 0.000000000 0.095311323
## [19893,] 0.000000000 0 0 0.000000000 1.000000000
## [19894,] 0.000000000 0 0 0.000000000 1.000000000
## [19895,] 0.712148683 0 0 0.000000000 0.287851317
## [19896,] 0.000000000 0 0 0.000000000 1.000000000
## [19897,] 0.000000000 0 0 0.000000000 1.000000000
## [19898,] 0.000000000 0 0 0.000000000 1.000000000
## [19899,] 0.000000000 0 0 0.000000000 1.000000000
## [19900,] 0.000000000 0 0 0.000000000 1.000000000
## [19901,] 0.019283750 0 0 0.000000000 0.980716250
## [19902,] 0.000000000 0 0 0.000000000 1.000000000
## [19903,] 0.000000000 0 0 0.000000000 1.000000000
## [19904,] 0.000000000 0 0 0.000000000 1.000000000
## [19905,] 0.000000000 0 0 0.045799135 0.954200865
## [19906,] 0.000000000 0 0 0.000000000 1.000000000
## [19907,] 0.000000000 0 0 0.000000000 1.000000000
## [19908,] 0.019283750 0 0 0.629901870 0.350814380
## [19909,] 0.000000000 0 0 0.629901870 0.370098130
## [19910,] 0.000000000 0 0 0.000000000 1.000000000
## [19911,] 0.000000000 0 0 0.000000000 1.000000000
## [19912,] 0.000000000 0 0 0.000000000 1.000000000
## [19913,] 0.000000000 0 0 0.629901870 0.370098130
## [19914,] 0.000000000 0 0 0.629901870 0.370098130
## [19915,] 0.000000000 0 0 0.000000000 1.000000000
## [19916,] 0.000000000 0 0 0.000000000 1.000000000
## [19917,] 0.000000000 0 0 0.000000000 1.000000000
## [19918,] 0.000000000 0 0 0.000000000 1.000000000
## [19919,] 0.000000000 0 0 0.000000000 1.000000000
## [19920,] 1.000000000 0 0 0.000000000 0.000000000
## [19921,] 1.000000000 0 0 0.000000000 0.000000000
## [19922,] 0.000000000 0 0 0.000000000 1.000000000
## [19923,] 0.000000000 0 0 0.000000000 1.000000000
## [19924,] 0.000000000 0 0 0.629901870 0.370098130
## [19925,] 0.000000000 0 0 0.000000000 1.000000000
## [19926,] 0.000000000 0 0 0.629901870 0.370098130
## [19927,] 1.000000000 0 0 0.000000000 0.000000000
## [19928,] 0.000000000 0 0 0.629901870 0.370098130
## [19929,] 0.000000000 0 0 0.629901870 0.370098130
## [19930,] 0.000000000 0 0 0.000000000 1.000000000
## [19931,] 0.000000000 0 0 0.107573095 0.892426905
## [19932,] 0.000000000 0 0 0.000000000 1.000000000
## [19933,] 0.000000000 0 0 0.000000000 1.000000000
## [19934,] 0.000000000 0 0 0.629901870 0.370098130
## [19935,] 0.000000000 0 0 0.570802662 0.429197338
## [19936,] 0.000000000 0 0 0.000000000 1.000000000
## [19937,] 0.712148683 0 0 0.000000000 0.287851317
## [19938,] 0.000000000 0 0 0.629901870 0.370098130
## [19939,] 0.000000000 0 0 0.000000000 1.000000000
## [19940,] 0.000000000 0 0 0.629901870 0.370098130
## [19941,] 0.000000000 0 0 0.000000000 1.000000000
## [19942,] 0.000000000 0 0 0.000000000 1.000000000
## [19943,] 0.019283750 0 0 0.000000000 0.980716250
## [19944,] 0.000000000 0 0 0.045799135 0.954200865
## [19945,] 0.000000000 0 0 0.000000000 1.000000000
## [19946,] 1.000000000 0 0 0.000000000 0.000000000
## [19947,] 0.000000000 0 0 0.000000000 1.000000000
## [19948,] 0.000000000 0 0 0.000000000 1.000000000
## [19949,] 1.000000000 0 0 0.000000000 0.000000000
## [19950,] 0.747798042 0 0 0.000000000 0.252201958
## [19951,] 0.000000000 0 0 0.000000000 1.000000000
## [19952,] 0.000000000 0 0 0.000000000 1.000000000
## [19953,] 0.000000000 0 0 0.000000000 1.000000000
## [19954,] 0.000000000 0 0 0.000000000 1.000000000
## [19955,] 0.000000000 0 0 0.000000000 1.000000000
## [19956,] 0.000000000 0 0 0.000000000 1.000000000
## [19957,] 0.000000000 0 0 0.000000000 1.000000000
## [19958,] 0.904688677 0 0 0.000000000 0.095311323
## [19959,] 0.000000000 0 0 0.570802662 0.429197338
## [19960,] 0.019283750 0 0 0.000000000 0.980716250
## [19961,] 0.000000000 0 0 0.011882993 0.988117007
## [19962,] 1.000000000 0 0 0.000000000 0.000000000
## [19963,] 0.000000000 0 0 0.000000000 1.000000000
## [19964,] 0.000000000 0 0 0.000000000 1.000000000
## [19965,] 0.000000000 0 0 0.000000000 1.000000000
## [19966,] 0.000000000 0 0 0.007923461 0.992076539
## [19967,] 1.000000000 0 0 0.000000000 0.000000000
## [19968,] 0.000000000 0 0 0.629901870 0.370098130
## [19969,] 0.000000000 0 0 0.000000000 1.000000000
## [19970,] 0.000000000 0 0 0.000000000 1.000000000
## [19971,] 0.000000000 0 0 0.000000000 1.000000000
## [19972,] 0.000000000 0 0 0.629901870 0.370098130
## [19973,] 0.019283750 0 0 0.000000000 0.980716250
## [19974,] 0.828249955 0 0 0.000000000 0.171750045
## [19975,] 0.000000000 0 0 0.000000000 1.000000000
## [19976,] 0.000000000 0 0 0.000000000 1.000000000
## [19977,] 0.000000000 0 0 0.000000000 1.000000000
## [19978,] 0.000000000 0 0 0.605109368 0.394890632
## [19979,] 0.000000000 0 0 0.000000000 1.000000000
## [19980,] 0.904688677 0 0 0.000000000 0.095311323
## [19981,] 0.000000000 0 0 0.000000000 1.000000000
## [19982,] 0.712148683 0 0 0.000000000 0.287851317
## [19983,] 0.000000000 0 0 0.000000000 1.000000000
## [19984,] 1.000000000 0 0 0.000000000 0.000000000
## [19985,] 0.945129740 0 0 0.000000000 0.054870260
## [19986,] 0.000000000 0 0 0.000000000 1.000000000
## [19987,] 0.000000000 0 0 0.197571277 0.802428723
## [19988,] 0.000000000 0 0 0.024792502 0.975207498
## [19989,] 0.000000000 0 0 0.000000000 1.000000000
## [19990,] 0.000000000 0 0 0.000000000 1.000000000
## [19991,] 0.000000000 0 0 0.570802662 0.429197338
## [19992,] 0.000000000 0 0 0.000000000 1.000000000
## [19993,] 0.000000000 0 0 0.000000000 1.000000000
## [19994,] 0.000000000 0 0 0.442167075 0.557832925
## [19995,] 0.000000000 0 0 0.629901870 0.370098130
## [19996,] 0.000000000 0 0 0.000000000 1.000000000
## [19997,] 0.000000000 0 0 0.000000000 1.000000000
## [19998,] 0.000000000 0 0 0.000000000 1.000000000
## [19999,] 1.000000000 0 0 0.000000000 0.000000000
## [ reached getOption("max.print") -- omitted 33576 rows ]
##
## $class
## [1] "5" "5" "4" "5" "5" "1" "5" "4" "5" "5" "4" "5" "1" "5" "5" "4" "5" "1"
## [19] "1" "5" "5" "5" "4" "1" "5" "1" "4" "1" "4" "5" "5" "4" "1" "1" "5" "5"
## [37] "5" "5" "1" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "4" "5" "4"
## [55] "4" "5" "5" "4" "5" "5" "1" "4" "5" "4" "4" "5" "5" "5" "5" "4" "5" "1"
## [73] "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "4" "5" "5"
## [91] "5" "4" "5" "5" "5" "4" "4" "5" "4" "5" "1" "1" "5" "5" "1" "5" "5" "5"
## [109] "4" "4" "4" "1" "5" "1" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [127] "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5"
## [145] "5" "1" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "5" "5" "5" "4" "1" "5"
## [163] "4" "4" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "1" "5" "4" "5" "5"
## [181] "5" "5" "5" "5" "5" "5" "4" "1" "4" "1" "5" "1" "4" "5" "5" "5" "5" "4"
## [199] "5" "1" "1" "1" "1" "4" "5" "5" "5" "1" "4" "5" "5" "5" "5" "4" "4" "5"
## [217] "5" "5" "5" "1" "5" "5" "1" "5" "4" "1" "1" "5" "5" "4" "4" "1" "5" "4"
## [235] "5" "5" "5" "1" "4" "5" "5" "1" "5" "5" "5" "5" "1" "1" "4" "5" "5" "1"
## [253] "5" "5" "4" "5" "5" "4" "4" "5" "4" "1" "5" "5" "4" "4" "4" "4" "4" "4"
## [271] "5" "5" "5" "5" "5" "5" "1" "1" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4"
## [289] "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1"
## [307] "4" "4" "5" "5" "1" "5" "1" "5" "5" "4" "5" "5" "1" "5" "1" "1" "5" "5"
## [325] "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "1" "4" "5" "5" "5"
## [343] "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4" "4" "5" "4"
## [361] "5" "4" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [379] "5" "1" "5" "1" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4"
## [397] "5" "5" "5" "4" "5" "4" "5" "5" "1" "4" "1" "1" "5" "5" "1" "5" "5" "5"
## [415] "1" "5" "5" "1" "5" "5" "4" "1" "4" "5" "1" "5" "1" "1" "5" "5" "5" "5"
## [433] "4" "4" "5" "5" "5" "1" "5" "4" "5" "5" "5" "1" "4" "4" "4" "4" "5" "4"
## [451] "1" "4" "5" "1" "1" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "1" "1"
## [469] "5" "5" "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "4"
## [487] "5" "5" "5" "4" "4" "4" "1" "1" "5" "1" "5" "5" "1" "1" "4" "4" "4" "5"
## [505] "5" "5" "5" "5" "5" "1" "1" "4" "1" "1" "4" "5" "5" "4" "4" "4" "5" "4"
## [523] "4" "5" "5" "5" "4" "5" "5" "5" "5" "1" "1" "1" "5" "1" "5" "5" "1" "5"
## [541] "5" "1" "5" "1" "5" "5" "5" "5" "1" "5" "1" "5" "4" "4" "4" "5" "4" "4"
## [559] "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "1" "5"
## [577] "4" "5" "5" "4" "4" "5" "5" "5" "1" "4" "5" "5" "5" "5" "4" "5" "1" "5"
## [595] "1" "5" "1" "5" "4" "5" "1" "4" "4" "5" "5" "5" "5" "5" "5" "4" "5" "4"
## [613] "5" "1" "5" "4" "5" "4" "4" "5" "4" "5" "5" "5" "1" "5" "5" "5" "4" "5"
## [631] "5" "4" "1" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "1" "5" "5" "4"
## [649] "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5"
## [667] "1" "4" "5" "5" "5" "5" "5" "5" "1" "4" "1" "5" "5" "5" "1" "5" "5" "4"
## [685] "5" "1" "1" "4" "1" "4" "5" "5" "1" "1" "5" "5" "5" "1" "5" "1" "5" "5"
## [703] "5" "1" "5" "5" "5" "5" "4" "1" "4" "5" "5" "4" "5" "1" "5" "5" "1" "1"
## [721] "4" "5" "5" "5" "1" "4" "1" "5" "5" "4" "5" "4" "5" "4" "5" "1" "1" "5"
## [739] "5" "5" "1" "5" "1" "5" "5" "5" "1" "5" "5" "5" "4" "1" "1" "5" "5" "5"
## [757] "5" "4" "5" "1" "4" "4" "5" "5" "4" "5" "4" "4" "5" "5" "5" "5" "1" "4"
## [775] "5" "4" "5" "5" "1" "5" "5" "5" "4" "1" "1" "1" "5" "4" "5" "5" "4" "5"
## [793] "5" "4" "5" "5" "4" "1" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5"
## [811] "5" "5" "4" "5" "4" "4" "5" "5" "5" "1" "5" "5" "5" "5" "4" "4" "1" "4"
## [829] "5" "4" "4" "5" "1" "4" "4" "5" "5" "4" "4" "5" "4" "5" "1" "5" "5" "1"
## [847] "1" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1"
## [865] "5" "4" "1" "1" "1" "4" "5" "1" "5" "5" "4" "5" "4" "5" "4" "4" "4" "4"
## [883] "5" "5" "5" "5" "4" "1" "5" "1" "5" "5" "5" "4" "4" "5" "1" "5" "5" "5"
## [901] "5" "4" "4" "5" "5" "4" "4" "5" "5" "4" "1" "5" "5" "5" "4" "1" "1" "5"
## [919] "5" "5" "5" "4" "5" "5" "4" "4" "5" "1" "4" "5" "4" "5" "4" "5" "5" "4"
## [937] "5" "5" "4" "4" "1" "5" "1" "5" "1" "5" "5" "1" "4" "5" "5" "4" "5" "1"
## [955] "5" "5" "4" "1" "5" "5" "4" "1" "5" "5" "1" "5" "4" "5" "4" "1" "5" "4"
## [973] "5" "5" "4" "4" "4" "5" "1" "5" "5" "1" "5" "5" "1" "4" "4" "5" "5" "4"
## [991] "5" "5" "4" "5" "1" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5"
## [1009] "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "1" "5"
## [1027] "5" "4" "5" "5" "5" "4" "4" "5" "1" "5" "5" "4" "5" "5" "4" "5" "5" "1"
## [1045] "4" "5" "5" "1" "5" "5" "5" "1" "4" "5" "5" "5" "5" "4" "5" "4" "4" "1"
## [1063] "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "1" "5" "4" "5" "4"
## [1081] "5" "1" "1" "4" "5" "5" "4" "5" "4" "4" "4" "1" "5" "5" "5" "5" "1" "5"
## [1099] "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1"
## [1117] "4" "1" "4" "5" "4" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4"
## [1135] "5" "1" "1" "5" "5" "4" "5" "5" "5" "4" "5" "1" "4" "5" "4" "5" "1" "5"
## [1153] "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "1" "5" "4" "4" "5" "5"
## [1171] "5" "4" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5"
## [1189] "5" "4" "1" "4" "5" "5" "5" "4" "4" "5" "1" "5" "1" "1" "5" "5" "5" "4"
## [1207] "5" "1" "5" "5" "5" "4" "1" "5" "1" "5" "5" "4" "5" "5" "5" "1" "5" "1"
## [1225] "5" "5" "5" "4" "5" "1" "1" "5" "5" "5" "5" "4" "5" "5" "1" "1" "5" "5"
## [1243] "5" "5" "4" "1" "1" "4" "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [1261] "5" "5" "5" "4" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5"
## [1279] "5" "4" "4" "5" "5" "5" "5" "5" "4" "4" "1" "5" "5" "5" "4" "5" "4" "5"
## [1297] "5" "5" "5" "1" "5" "5" "4" "1" "5" "4" "5" "5" "5" "4" "5" "5" "5" "1"
## [1315] "1" "4" "5" "1" "4" "1" "1" "4" "4" "5" "1" "4" "5" "4" "5" "5" "4" "5"
## [1333] "5" "5" "4" "5" "1" "5" "1" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5"
## [1351] "5" "1" "1" "5" "1" "5" "5" "5" "5" "5" "5" "1" "1" "4" "5" "4" "5" "5"
## [1369] "1" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4"
## [1387] "1" "1" "5" "1" "5" "4" "5" "4" "5" "5" "4" "4" "1" "5" "5" "4" "5" "5"
## [1405] "5" "4" "4" "1" "1" "5" "5" "4" "4" "5" "5" "5" "1" "1" "5" "5" "4" "1"
## [1423] "1" "5" "5" "5" "5" "4" "1" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "5"
## [1441] "5" "4" "5" "5" "1" "4" "1" "1" "5" "4" "1" "5" "5" "5" "5" "5" "4" "5"
## [1459] "4" "1" "4" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "1" "1"
## [1477] "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5"
## [1495] "5" "4" "5" "4" "5" "5" "4" "4" "5" "4" "4" "1" "5" "4" "1" "4" "5" "5"
## [1513] "5" "5" "5" "5" "1" "4" "5" "5" "4" "5" "1" "4" "5" "4" "5" "5" "5" "5"
## [1531] "4" "1" "4" "4" "5" "5" "5" "4" "1" "5" "4" "5" "5" "5" "4" "5" "5" "5"
## [1549] "5" "5" "5" "4" "1" "1" "5" "5" "5" "5" "5" "1" "5" "1" "1" "4" "5" "4"
## [1567] "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "1" "4" "5" "4" "1" "5" "5" "1"
## [1585] "1" "1" "5" "4" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "4" "5" "5"
## [1603] "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "4" "4" "5" "5" "5" "5" "5" "5"
## [1621] "4" "4" "4" "5" "5" "1" "5" "5" "4" "5" "1" "5" "5" "5" "5" "1" "5" "5"
## [1639] "5" "4" "4" "4" "5" "1" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "1"
## [1657] "1" "4" "4" "1" "1" "5" "5" "1" "5" "5" "5" "5" "4" "4" "5" "1" "1" "5"
## [1675] "1" "5" "4" "5" "1" "4" "1" "4" "5" "5" "4" "5" "1" "1" "5" "5" "1" "5"
## [1693] "5" "1" "4" "1" "1" "5" "4" "5" "5" "5" "1" "4" "5" "1" "4" "4" "5" "5"
## [1711] "4" "1" "5" "1" "5" "1" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5"
## [1729] "1" "4" "5" "5" "1" "5" "4" "5" "5" "5" "1" "4" "5" "1" "1" "5" "5" "4"
## [1747] "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "4" "1" "1" "4" "5" "4" "5"
## [1765] "5" "5" "1" "1" "4" "5" "5" "4" "1" "5" "5" "5" "5" "4" "5" "4" "5" "5"
## [1783] "5" "5" "5" "1" "5" "5" "4" "1" "5" "5" "5" "1" "5" "5" "1" "4" "4" "5"
## [1801] "5" "5" "5" "5" "5" "5" "4" "4" "1" "5" "4" "5" "5" "5" "1" "4" "5" "5"
## [1819] "1" "4" "1" "5" "5" "5" "5" "1" "1" "1" "1" "5" "5" "5" "5" "5" "5" "5"
## [1837] "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "4" "5" "1" "4"
## [1855] "5" "4" "5" "5" "1" "1" "5" "5" "5" "4" "1" "5" "4" "5" "5" "4" "4" "5"
## [1873] "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "4" "4" "1" "5" "1" "5" "5"
## [1891] "5" "5" "4" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "4" "4" "1" "4"
## [1909] "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "4" "1"
## [1927] "1" "5" "4" "5" "5" "5" "5" "4" "1" "1" "1" "4" "5" "5" "1" "5" "5" "1"
## [1945] "1" "4" "5" "1" "4" "5" "4" "5" "5" "5" "4" "5" "5" "1" "5" "1" "5" "5"
## [1963] "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [1981] "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5" "1" "5" "5" "5" "5" "4" "4"
## [1999] "5" "4" "1" "4" "5" "5" "1" "4" "5" "4" "1" "5" "5" "4" "1" "5" "1" "5"
## [2017] "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4"
## [2035] "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4"
## [2053] "5" "1" "5" "5" "5" "1" "4" "1" "5" "5" "5" "4" "5" "1" "4" "4" "5" "4"
## [2071] "5" "4" "5" "5" "4" "4" "5" "4" "1" "5" "4" "4" "5" "5" "5" "5" "5" "5"
## [2089] "5" "5" "5" "1" "5" "5" "4" "5" "5" "1" "1" "5" "5" "5" "5" "1" "5" "5"
## [2107] "1" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4"
## [2125] "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "4" "5" "1" "5"
## [2143] "5" "4" "4" "5" "4" "5" "5" "1" "4" "5" "4" "1" "5" "5" "5" "5" "4" "5"
## [2161] "5" "1" "5" "1" "5" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5"
## [2179] "1" "5" "5" "1" "1" "4" "1" "1" "4" "5" "5" "1" "5" "1" "5" "5" "5" "5"
## [2197] "5" "5" "5" "5" "4" "5" "5" "1" "5" "4" "4" "5" "5" "4" "1" "5" "4" "5"
## [2215] "5" "5" "5" "5" "1" "5" "5" "4" "4" "1" "5" "5" "4" "5" "5" "5" "5" "5"
## [2233] "5" "4" "4" "5" "1" "4" "5" "5" "1" "5" "1" "4" "5" "5" "5" "1" "5" "5"
## [2251] "4" "4" "5" "5" "5" "5" "5" "4" "5" "4" "1" "5" "5" "5" "4" "4" "4" "5"
## [2269] "4" "4" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4"
## [2287] "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "4" "1"
## [2305] "4" "5" "4" "1" "1" "4" "1" "5" "5" "5" "1" "1" "5" "5" "4" "5" "5" "5"
## [2323] "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "4" "1" "1" "5" "5" "4" "5" "5"
## [2341] "1" "5" "5" "5" "5" "1" "4" "5" "5" "5" "1" "1" "4" "5" "1" "4" "5" "5"
## [2359] "4" "4" "1" "5" "5" "5" "1" "4" "1" "5" "1" "4" "5" "5" "5" "5" "1" "4"
## [2377] "4" "5" "5" "4" "4" "5" "5" "5" "5" "4" "4" "1" "5" "5" "1" "5" "4" "5"
## [2395] "4" "5" "5" "1" "1" "1" "5" "5" "4" "1" "5" "5" "1" "5" "4" "1" "5" "5"
## [2413] "5" "5" "1" "5" "5" "5" "5" "5" "1" "4" "4" "5" "4" "1" "5" "4" "5" "4"
## [2431] "5" "4" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5"
## [2449] "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4"
## [2467] "5" "4" "1" "1" "5" "4" "1" "4" "4" "5" "5" "4" "5" "5" "4" "1" "5" "5"
## [2485] "5" "5" "1" "4" "4" "5" "5" "5" "5" "4" "1" "4" "5" "5" "4" "5" "5" "5"
## [2503] "4" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "4"
## [2521] "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5"
## [2539] "1" "4" "5" "5" "4" "1" "5" "5" "5" "4" "4" "5" "1" "1" "5" "5" "5" "1"
## [2557] "5" "1" "5" "5" "4" "4" "5" "5" "5" "1" "5" "1" "4" "1" "4" "5" "1" "4"
## [2575] "1" "5" "5" "5" "1" "5" "1" "5" "4" "4" "5" "1" "5" "4" "5" "1" "5" "5"
## [2593] "1" "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "4" "5" "1"
## [2611] "5" "5" "4" "4" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "4"
## [2629] "1" "5" "5" "5" "5" "1" "5" "5" "5" "4" "4" "5" "5" "4" "5" "1" "1" "5"
## [2647] "5" "5" "4" "4" "5" "5" "5" "5" "5" "1" "1" "1" "5" "4" "5" "4" "5" "5"
## [2665] "5" "5" "5" "1" "5" "5" "4" "1" "5" "5" "4" "1" "4" "4" "5" "5" "1" "5"
## [2683] "5" "5" "5" "4" "5" "1" "4" "4" "5" "5" "5" "5" "1" "5" "1" "1" "4" "1"
## [2701] "5" "5" "4" "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "4"
## [2719] "4" "4" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4" "1" "5" "5" "5" "1"
## [2737] "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "4" "1" "4" "4" "4" "5" "4" "4"
## [2755] "4" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "1" "5" "5"
## [2773] "4" "5" "5" "5" "5" "1" "4" "1" "1" "5" "5" "5" "5" "5" "1" "5" "5" "4"
## [2791] "5" "1" "1" "5" "1" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5"
## [2809] "4" "5" "4" "4" "4" "5" "5" "4" "5" "1" "5" "4" "1" "5" "5" "5" "1" "5"
## [2827] "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "1"
## [2845] "4" "4" "4" "4" "4" "4" "5" "5" "4" "5" "5" "5" "1" "5" "4" "5" "5" "5"
## [2863] "5" "4" "4" "4" "5" "4" "1" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1"
## [2881] "1" "5" "1" "1" "5" "5" "4" "1" "4" "5" "5" "1" "1" "5" "5" "5" "1" "5"
## [2899] "1" "5" "5" "4" "1" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [2917] "4" "5" "5" "5" "5" "5" "5" "1" "5" "4" "1" "5" "4" "5" "1" "5" "5" "5"
## [2935] "1" "5" "5" "5" "4" "5" "4" "1" "1" "1" "5" "5" "5" "5" "5" "5" "4" "4"
## [2953] "5" "5" "1" "4" "5" "1" "5" "5" "5" "5" "5" "1" "4" "4" "5" "1" "1" "4"
## [2971] "5" "1" "1" "1" "5" "1" "5" "5" "5" "1" "1" "5" "5" "5" "4" "5" "5" "5"
## [2989] "4" "5" "1" "1" "5" "5" "5" "1" "4" "4" "4" "5" "4" "5" "1" "5" "5" "5"
## [3007] "1" "4" "5" "1" "4" "4" "5" "5" "4" "5" "5" "5" "4" "1" "4" "5" "1" "5"
## [3025] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "4" "5" "4" "4"
## [3043] "1" "4" "1" "5" "5" "4" "5" "1" "4" "5" "4" "4" "4" "1" "1" "1" "5" "5"
## [3061] "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4"
## [3079] "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "4" "5" "1" "5" "5" "4" "4" "4"
## [3097] "1" "5" "5" "1" "5" "1" "4" "5" "5" "4" "5" "4" "5" "4" "5" "1" "4" "5"
## [3115] "4" "4" "5" "4" "5" "5" "5" "5" "4" "5" "1" "1" "5" "5" "4" "4" "4" "4"
## [3133] "5" "5" "5" "5" "4" "4" "4" "5" "1" "5" "5" "5" "1" "5" "5" "5" "4" "1"
## [3151] "1" "4" "5" "5" "5" "4" "1" "5" "5" "4" "5" "5" "5" "5" "4" "1" "5" "5"
## [3169] "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "1" "4" "4" "1"
## [3187] "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "1" "1" "5" "5" "5" "5" "5"
## [3205] "4" "5" "5" "4" "4" "4" "5" "4" "1" "4" "1" "1" "4" "5" "5" "5" "4" "5"
## [3223] "1" "1" "5" "5" "5" "5" "4" "4" "4" "1" "4" "5" "5" "5" "5" "4" "5" "4"
## [3241] "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "4" "4" "1" "1" "1" "4" "5" "5"
## [3259] "5" "5" "1" "5" "5" "5" "4" "5" "5" "4" "4" "4" "5" "4" "5" "5" "1" "5"
## [3277] "4" "5" "4" "1" "1" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "4" "1" "1"
## [3295] "5" "5" "1" "4" "5" "5" "5" "5" "5" "1" "1" "1" "1" "5" "1" "5" "5" "5"
## [3313] "5" "4" "5" "5" "5" "4" "5" "1" "5" "1" "5" "1" "5" "5" "5" "5" "4" "1"
## [3331] "1" "5" "4" "5" "4" "5" "4" "1" "4" "1" "5" "4" "5" "5" "4" "5" "5" "5"
## [3349] "4" "1" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "4" "1" "5"
## [3367] "4" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "1" "4" "5" "4" "4" "5" "5"
## [3385] "5" "5" "1" "5" "1" "1" "4" "1" "4" "4" "4" "5" "5" "4" "5" "5" "4" "1"
## [3403] "5" "1" "5" "5" "5" "5" "4" "4" "5" "4" "4" "1" "5" "5" "4" "5" "5" "4"
## [3421] "1" "1" "1" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "4" "4" "5" "4"
## [3439] "1" "5" "5" "5" "5" "4" "4" "4" "1" "5" "5" "1" "5" "4" "5" "5" "5" "1"
## [3457] "5" "4" "4" "1" "1" "4" "5" "5" "4" "5" "5" "4" "4" "5" "5" "5" "1" "1"
## [3475] "5" "5" "4" "5" "5" "5" "1" "1" "5" "1" "5" "5" "5" "4" "1" "5" "1" "5"
## [3493] "1" "4" "1" "5" "1" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [3511] "5" "5" "5" "5" "5" "5" "4" "1" "5" "1" "5" "5" "5" "5" "1" "5" "4" "5"
## [3529] "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [3547] "4" "5" "5" "1" "1" "5" "5" "5" "5" "4" "1" "1" "5" "4" "5" "5" "4" "5"
## [3565] "4" "5" "4" "5" "1" "4" "1" "4" "1" "5" "5" "5" "5" "1" "5" "5" "4" "4"
## [3583] "1" "1" "4" "5" "1" "5" "5" "1" "1" "5" "5" "5" "5" "4" "4" "1" "5" "5"
## [3601] "1" "5" "5" "4" "5" "4" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5" "1" "5"
## [3619] "4" "5" "5" "1" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1"
## [3637] "5" "1" "1" "4" "5" "5" "1" "4" "5" "5" "4" "4" "1" "5" "4" "5" "4" "5"
## [3655] "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5" "4" "1" "1" "5" "5"
## [3673] "5" "4" "4" "5" "5" "1" "4" "4" "4" "5" "5" "4" "5" "5" "4" "5" "5" "5"
## [3691] "5" "5" "5" "1" "5" "5" "4" "1" "5" "1" "5" "1" "1" "1" "5" "4" "5" "5"
## [3709] "4" "5" "5" "1" "5" "5" "1" "5" "4" "4" "5" "4" "5" "4" "1" "5" "1" "5"
## [3727] "4" "4" "5" "4" "5" "1" "4" "5" "5" "4" "1" "5" "5" "4" "5" "5" "4" "4"
## [3745] "1" "5" "1" "5" "5" "5" "5" "1" "4" "5" "4" "1" "5" "5" "5" "5" "4" "5"
## [3763] "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4" "5" "5" "4" "5"
## [3781] "4" "4" "1" "5" "5" "5" "4" "5" "4" "4" "4" "1" "5" "1" "5" "4" "5" "1"
## [3799] "1" "5" "4" "5" "5" "5" "5" "4" "5" "4" "5" "1" "5" "5" "5" "1" "4" "5"
## [3817] "4" "5" "4" "1" "5" "1" "5" "4" "5" "4" "5" "4" "1" "5" "5" "1" "5" "5"
## [3835] "4" "5" "5" "5" "4" "5" "1" "1" "1" "5" "5" "5" "4" "5" "5" "4" "4" "5"
## [3853] "5" "5" "4" "4" "1" "1" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [3871] "5" "5" "5" "5" "5" "1" "1" "4" "5" "5" "5" "5" "4" "1" "1" "4" "5" "4"
## [3889] "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "4" "4" "4" "5"
## [3907] "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "1" "5"
## [3925] "5" "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "4" "5" "5" "5" "5" "5" "5"
## [3943] "5" "4" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "1" "1" "4" "5" "5" "5"
## [3961] "5" "5" "5" "5" "5" "1" "4" "4" "5" "5" "5" "5" "5" "5" "4" "4" "4" "1"
## [3979] "1" "5" "4" "1" "5" "5" "5" "5" "4" "4" "5" "4" "4" "5" "5" "5" "5" "5"
## [3997] "5" "1" "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5"
## [4015] "5" "5" "1" "5" "5" "5" "5" "1" "4" "5" "4" "4" "5" "5" "5" "5" "5" "5"
## [4033] "5" "4" "1" "4" "4" "4" "5" "5" "4" "5" "5" "5" "5" "1" "5" "1" "5" "4"
## [4051] "1" "4" "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "4" "5"
## [4069] "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5"
## [4087] "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "1" "4" "4"
## [4105] "5" "1" "4" "4" "4" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5"
## [4123] "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5"
## [4141] "5" "4" "5" "5" "4" "4" "1" "5" "1" "4" "5" "1" "5" "4" "5" "5" "5" "5"
## [4159] "5" "5" "4" "4" "5" "4" "5" "1" "4" "1" "5" "4" "5" "4" "4" "4" "5" "5"
## [4177] "1" "4" "1" "5" "4" "4" "1" "4" "5" "4" "5" "5" "4" "1" "5" "1" "1" "5"
## [4195] "5" "5" "4" "1" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "1"
## [4213] "5" "4" "1" "5" "4" "5" "4" "5" "5" "5" "5" "1" "5" "4" "4" "5" "5" "1"
## [4231] "5" "1" "5" "1" "5" "4" "5" "4" "5" "1" "5" "4" "4" "5" "5" "5" "5" "5"
## [4249] "1" "5" "5" "4" "1" "5" "4" "5" "5" "5" "4" "4" "5" "1" "4" "5" "4" "4"
## [4267] "5" "5" "1" "4" "5" "5" "1" "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "1"
## [4285] "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "1" "1" "1" "5" "5" "4" "5" "1"
## [4303] "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "1" "5" "4" "4" "5" "4"
## [4321] "4" "5" "4" "5" "5" "5" "4" "1" "4" "4" "4" "4" "4" "5" "5" "5" "5" "5"
## [4339] "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5"
## [4357] "4" "5" "4" "5" "1" "5" "5" "5" "5" "1" "5" "4" "1" "5" "5" "5" "1" "4"
## [4375] "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5"
## [4393] "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5"
## [4411] "5" "5" "5" "5" "4" "5" "1" "1" "5" "5" "5" "4" "4" "5" "4" "1" "4" "5"
## [4429] "5" "4" "5" "5" "5" "4" "4" "5" "5" "4" "1" "5" "1" "5" "5" "5" "1" "1"
## [4447] "5" "5" "5" "5" "5" "5" "5" "4" "1" "4" "4" "5" "5" "5" "5" "5" "5" "5"
## [4465] "1" "4" "1" "4" "4" "1" "1" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5"
## [4483] "5" "5" "1" "5" "5" "1" "5" "4" "1" "1" "5" "5" "1" "5" "5" "4" "5" "5"
## [4501] "5" "1" "5" "4" "1" "4" "4" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [4519] "5" "5" "4" "4" "4" "5" "5" "5" "5" "1" "1" "4" "5" "1" "5" "5" "5" "5"
## [4537] "5" "5" "5" "5" "4" "1" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5"
## [4555] "5" "1" "1" "5" "5" "1" "1" "5" "1" "5" "5" "5" "1" "1" "5" "1" "4" "5"
## [4573] "5" "1" "1" "5" "4" "5" "4" "5" "4" "5" "1" "4" "4" "5" "4" "5" "5" "5"
## [4591] "5" "5" "5" "4" "1" "1" "5" "5" "4" "5" "1" "1" "5" "5" "5" "4" "5" "5"
## [4609] "5" "1" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "4"
## [4627] "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "1" "5"
## [4645] "5" "1" "5" "5" "5" "5" "1" "5" "1" "5" "5" "1" "5" "4" "5" "5" "1" "1"
## [4663] "1" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5"
## [4681] "4" "4" "1" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "4" "5" "5" "5"
## [4699] "4" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "4"
## [4717] "1" "4" "5" "5" "4" "4" "5" "1" "1" "5" "5" "1" "4" "4" "5" "5" "5" "5"
## [4735] "4" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "1"
## [4753] "5" "5" "4" "5" "4" "5" "1" "1" "4" "5" "5" "1" "5" "4" "1" "5" "1" "5"
## [4771] "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5"
## [4789] "5" "5" "4" "4" "5" "5" "5" "5" "1" "5" "5" "4" "5" "4" "5" "5" "1" "5"
## [4807] "4" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5" "4" "5"
## [4825] "1" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [4843] "5" "5" "1" "4" "5" "4" "5" "1" "5" "1" "4" "1" "1" "5" "1" "5" "5" "5"
## [4861] "5" "4" "1" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5"
## [4879] "4" "1" "5" "4" "4" "5" "4" "4" "5" "5" "1" "5" "1" "5" "5" "5" "4" "4"
## [4897] "5" "5" "1" "4" "4" "4" "4" "4" "5" "5" "5" "1" "5" "1" "4" "5" "5" "5"
## [4915] "5" "5" "4" "5" "1" "5" "5" "4" "4" "5" "5" "1" "5" "1" "5" "5" "4" "5"
## [4933] "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "4" "5" "1" "5" "5" "5" "5" "4"
## [4951] "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "4" "4" "5" "1" "1" "5" "5" "1"
## [4969] "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "5" "4" "5" "5" "4" "4" "5" "5"
## [4987] "5" "1" "4" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "1" "5" "5" "1" "5"
## [5005] "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "5" "5" "4" "5" "4" "4" "1"
## [5023] "4" "4" "5" "5" "5" "4" "5" "5" "1" "1" "4" "5" "4" "5" "1" "5" "1" "5"
## [5041] "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1"
## [5059] "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [5077] "1" "5" "5" "5" "5" "5" "5" "1" "5" "1" "1" "5" "5" "4" "5" "5" "5" "1"
## [5095] "5" "5" "1" "5" "5" "5" "4" "5" "4" "4" "4" "1" "5" "5" "5" "4" "5" "5"
## [5113] "5" "4" "4" "5" "4" "4" "1" "5" "5" "1" "5" "4" "5" "5" "5" "4" "5" "4"
## [5131] "5" "5" "5" "4" "5" "5" "1" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5"
## [5149] "5" "5" "5" "1" "4" "4" "4" "4" "5" "4" "4" "5" "5" "5" "5" "5" "4" "5"
## [5167] "4" "1" "5" "1" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "1" "4" "5" "5"
## [5185] "5" "5" "5" "5" "5" "1" "5" "4" "5" "4" "5" "5" "5" "4" "4" "4" "5" "5"
## [5203] "1" "4" "5" "4" "5" "5" "1" "1" "5" "5" "1" "1" "5" "5" "1" "5" "5" "5"
## [5221] "4" "5" "4" "1" "1" "5" "5" "1" "5" "5" "4" "5" "5" "5" "1" "4" "5" "4"
## [5239] "5" "5" "5" "1" "5" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5"
## [5257] "1" "5" "5" "4" "1" "1" "5" "5" "4" "4" "4" "1" "5" "5" "4" "5" "5" "5"
## [5275] "5" "5" "5" "5" "5" "1" "4" "5" "5" "4" "5" "5" "5" "4" "5" "5" "4" "5"
## [5293] "5" "5" "1" "1" "5" "5" "5" "5" "5" "4" "5" "5" "4" "1" "5" "4" "5" "5"
## [5311] "1" "5" "5" "4" "5" "5" "1" "5" "5" "1" "4" "5" "4" "5" "5" "4" "4" "5"
## [5329] "4" "5" "4" "4" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [5347] "4" "4" "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5" "4" "5" "5" "5" "5"
## [5365] "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "1" "5" "1" "4" "5" "1" "4" "4"
## [5383] "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "4" "5" "5"
## [5401] "1" "5" "5" "1" "4" "4" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "4"
## [5419] "4" "5" "4" "5" "5" "5" "4" "1" "5" "4" "4" "4" "5" "5" "4" "4" "5" "5"
## [5437] "4" "4" "5" "1" "1" "4" "5" "5" "5" "1" "1" "5" "5" "5" "5" "4" "4" "5"
## [5455] "5" "1" "1" "5" "1" "4" "4" "1" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5"
## [5473] "5" "5" "1" "5" "5" "5" "1" "5" "1" "5" "1" "4" "5" "5" "5" "5" "5" "5"
## [5491] "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4"
## [5509] "4" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "1"
## [5527] "5" "5" "4" "4" "5" "1" "4" "5" "5" "5" "4" "1" "4" "1" "5" "5" "5" "5"
## [5545] "4" "5" "1" "5" "5" "1" "5" "5" "5" "5" "4" "4" "5" "5" "5" "1" "4" "5"
## [5563] "5" "5" "5" "5" "4" "4" "5" "5" "5" "4" "1" "4" "5" "5" "5" "5" "5" "5"
## [5581] "5" "5" "1" "5" "5" "5" "5" "1" "5" "1" "1" "4" "1" "4" "4" "5" "4" "5"
## [5599] "1" "5" "1" "5" "5" "4" "4" "4" "5" "1" "5" "5" "4" "4" "5" "5" "5" "5"
## [5617] "1" "4" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "4" "4" "5" "1" "5" "1"
## [5635] "5" "4" "1" "5" "4" "5" "4" "5" "1" "1" "4" "1" "5" "5" "5" "5" "5" "5"
## [5653] "4" "4" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "1"
## [5671] "5" "4" "5" "5" "4" "4" "4" "5" "5" "4" "5" "5" "1" "5" "4" "5" "5" "5"
## [5689] "1" "4" "5" "5" "1" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "1" "5" "4"
## [5707] "4" "1" "5" "5" "4" "4" "5" "5" "4" "1" "5" "1" "1" "5" "4" "5" "5" "5"
## [5725] "5" "5" "5" "4" "4" "5" "1" "5" "5" "4" "1" "5" "1" "4" "1" "4" "5" "5"
## [5743] "5" "5" "5" "5" "1" "4" "5" "5" "1" "4" "5" "5" "4" "5" "5" "1" "4" "5"
## [5761] "4" "1" "5" "4" "4" "4" "5" "5" "4" "5" "1" "1" "4" "5" "4" "5" "4" "5"
## [5779] "1" "5" "4" "4" "5" "5" "5" "1" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5"
## [5797] "5" "5" "5" "1" "4" "5" "1" "5" "4" "1" "5" "4" "5" "5" "4" "5" "4" "4"
## [5815] "4" "5" "5" "1" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [5833] "4" "4" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "1" "5" "5"
## [5851] "5" "5" "5" "1" "5" "1" "4" "1" "5" "5" "4" "5" "4" "4" "4" "1" "5" "4"
## [5869] "5" "5" "4" "5" "1" "1" "5" "5" "5" "4" "5" "4" "4" "4" "5" "5" "1" "5"
## [5887] "5" "4" "1" "1" "1" "4" "4" "5" "5" "5" "5" "1" "5" "5" "4" "5" "4" "4"
## [5905] "5" "4" "4" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "4" "1" "5" "5"
## [5923] "4" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "4" "4" "5" "5"
## [5941] "4" "5" "1" "5" "5" "5" "5" "1" "1" "1" "4" "5" "5" "5" "5" "5" "5" "5"
## [5959] "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "4" "4" "4" "5" "5" "5"
## [5977] "5" "1" "5" "4" "4" "5" "4" "5" "4" "1" "5" "4" "1" "5" "4" "1" "5" "5"
## [5995] "5" "5" "1" "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5"
## [6013] "1" "4" "5" "4" "4" "1" "5" "5" "5" "5" "5" "1" "5" "1" "4" "1" "5" "1"
## [6031] "5" "5" "4" "5" "4" "5" "4" "4" "4" "1" "4" "5" "4" "5" "5" "4" "1" "5"
## [6049] "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5"
## [6067] "5" "5" "5" "4" "5" "1" "5" "5" "4" "1" "4" "4" "5" "4" "4" "1" "5" "5"
## [6085] "5" "4" "5" "5" "4" "5" "5" "4" "5" "5" "1" "5" "4" "5" "5" "4" "5" "4"
## [6103] "1" "5" "1" "1" "4" "5" "4" "5" "5" "1" "4" "5" "5" "4" "5" "4" "5" "5"
## [6121] "5" "5" "4" "4" "4" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5"
## [6139] "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "4"
## [6157] "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5"
## [6175] "4" "5" "5" "4" "5" "1" "4" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5"
## [6193] "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "4" "5" "1" "5" "5" "5"
## [6211] "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "1" "5" "5" "5" "5"
## [6229] "5" "1" "5" "5" "4" "4" "5" "1" "5" "5" "4" "4" "4" "5" "5" "5" "5" "5"
## [6247] "5" "5" "5" "4" "5" "1" "5" "4" "5" "1" "1" "5" "5" "5" "5" "5" "4" "5"
## [6265] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5"
## [6283] "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "1" "5" "5" "5" "5"
## [6301] "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "1" "4"
## [6319] "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "1"
## [6337] "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4" "4" "5" "5" "5"
## [6355] "5" "5" "5" "5" "5" "5" "5" "4" "1" "1" "5" "5" "4" "5" "1" "5" "4" "4"
## [6373] "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "1" "5" "4"
## [6391] "1" "4" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5"
## [6409] "5" "4" "5" "1" "5" "5" "5" "4" "5" "5" "1" "4" "4" "5" "1" "1" "1" "1"
## [6427] "1" "5" "5" "5" "1" "5" "4" "1" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5"
## [6445] "4" "1" "5" "1" "5" "4" "5" "4" "5" "5" "5" "5" "4" "4" "1" "5" "5" "5"
## [6463] "1" "5" "1" "5" "4" "5" "5" "5" "4" "5" "5" "4" "4" "4" "5" "5" "4" "1"
## [6481] "5" "5" "1" "5" "4" "5" "1" "4" "1" "4" "5" "5" "5" "5" "4" "1" "5" "5"
## [6499] "5" "4" "4" "5" "1" "1" "5" "5" "5" "5" "5" "4" "4" "4" "1" "1" "4" "1"
## [6517] "4" "5" "5" "5" "5" "4" "4" "5" "1" "5" "4" "5" "5" "1" "5" "5" "4" "4"
## [6535] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5"
## [6553] "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "4" "5" "1" "5" "5" "1" "5"
## [6571] "5" "5" "5" "4" "4" "4" "5" "5" "5" "1" "5" "5" "1" "4" "4" "5" "1" "5"
## [6589] "5" "1" "1" "4" "4" "5" "5" "5" "4" "5" "5" "1" "4" "5" "4" "4" "5" "4"
## [6607] "5" "5" "4" "5" "5" "5" "4" "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "5"
## [6625] "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "4" "5"
## [6643] "4" "4" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "4" "5" "5"
## [6661] "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "4" "4" "5" "4" "4" "4" "4"
## [6679] "1" "4" "4" "5" "5" "5" "5" "5" "5" "4" "4" "1" "5" "5" "5" "4" "5" "5"
## [6697] "4" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "4" "1" "4"
## [6715] "5" "4" "1" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4"
## [6733] "1" "5" "5" "5" "1" "5" "5" "4" "5" "5" "4" "4" "5" "5" "5" "5" "1" "1"
## [6751] "5" "5" "1" "1" "5" "5" "1" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5"
## [6769] "5" "5" "5" "5" "1" "4" "5" "5" "4" "5" "5" "1" "5" "5" "4" "5" "5" "4"
## [6787] "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5"
## [6805] "5" "5" "5" "1" "1" "5" "4" "5" "5" "1" "5" "4" "4" "5" "5" "5" "1" "5"
## [6823] "4" "4" "1" "5" "5" "1" "1" "5" "5" "1" "5" "5" "5" "5" "1" "1" "5" "5"
## [6841] "5" "4" "5" "5" "1" "5" "4" "5" "4" "4" "4" "5" "5" "5" "4" "1" "5" "5"
## [6859] "5" "4" "4" "4" "5" "5" "1" "4" "5" "5" "5" "5" "4" "5" "4" "4" "1" "5"
## [6877] "4" "5" "1" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "4" "5" "5" "5" "1"
## [6895] "4" "4" "4" "5" "5" "1" "4" "5" "4" "4" "5" "4" "4" "4" "4" "5" "4" "5"
## [6913] "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "1"
## [6931] "5" "4" "4" "5" "5" "4" "5" "1" "4" "5" "5" "4" "5" "5" "1" "1" "5" "4"
## [6949] "1" "1" "5" "5" "1" "1" "5" "5" "4" "4" "5" "4" "1" "4" "1" "4" "5" "1"
## [6967] "5" "4" "4" "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5"
## [6985] "5" "4" "5" "1" "1" "5" "5" "5" "5" "1" "5" "5" "5" "4" "4" "4" "5" "5"
## [7003] "1" "1" "5" "4" "5" "4" "5" "1" "5" "1" "5" "5" "1" "4" "4" "5" "4" "5"
## [7021] "4" "5" "5" "4" "5" "4" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5" "1" "5"
## [7039] "4" "4" "1" "5" "5" "4" "5" "1" "1" "4" "5" "1" "1" "5" "5" "5" "5" "4"
## [7057] "5" "5" "4" "5" "5" "5" "4" "1" "5" "5" "5" "5" "1" "5" "5" "4" "1" "5"
## [7075] "5" "4" "5" "5" "4" "4" "4" "4" "5" "5" "5" "5" "4" "5" "5" "4" "1" "5"
## [7093] "5" "4" "1" "5" "5" "4" "4" "5" "5" "4" "5" "1" "5" "1" "4" "5" "5" "5"
## [7111] "5" "4" "1" "5" "4" "5" "4" "4" "4" "4" "4" "1" "5" "5" "5" "1" "5" "4"
## [7129] "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1" "4" "5" "4" "4" "4"
## [7147] "5" "5" "4" "4" "5" "5" "5" "5" "4" "4" "4" "1" "1" "5" "4" "5" "4" "5"
## [7165] "1" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5" "5" "4" "4" "5" "5" "4" "5"
## [7183] "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "4" "1" "5" "4" "4" "1" "1" "5"
## [7201] "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "4"
## [7219] "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "1"
## [7237] "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "4" "5" "4" "5" "1" "5" "4"
## [7255] "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5"
## [7273] "4" "5" "5" "5" "4" "1" "5" "5" "4" "5" "4" "4" "5" "5" "5" "1" "5" "4"
## [7291] "1" "4" "5" "5" "4" "5" "4" "5" "5" "4" "4" "5" "5" "5" "4" "4" "4" "5"
## [7309] "5" "4" "4" "5" "1" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5"
## [7327] "4" "1" "5" "1" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "4"
## [7345] "5" "5" "1" "5" "4" "5" "1" "5" "5" "5" "5" "5" "4" "1" "5" "5" "1" "5"
## [7363] "5" "1" "5" "1" "4" "5" "1" "5" "5" "1" "4" "5" "5" "5" "5" "4" "5" "4"
## [7381] "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "4" "5"
## [7399] "4" "5" "4" "1" "4" "4" "4" "5" "5" "5" "5" "4" "4" "5" "5" "1" "4" "1"
## [7417] "4" "5" "5" "4" "4" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4"
## [7435] "1" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "1" "4" "1" "5" "5" "5" "5"
## [7453] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "1" "4" "5" "1" "5"
## [7471] "4" "1" "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "4" "1" "1" "1" "5" "5"
## [7489] "1" "4" "5" "5" "1" "4" "5" "5" "5" "4" "5" "4" "5" "4" "5" "4" "5" "5"
## [7507] "5" "5" "4" "1" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [7525] "4" "5" "5" "4" "5" "5" "5" "1" "5" "4" "5" "5" "4" "5" "5" "1" "5" "5"
## [7543] "5" "1" "4" "4" "5" "4" "1" "5" "5" "5" "1" "1" "5" "5" "5" "1" "1" "4"
## [7561] "5" "5" "1" "4" "5" "5" "5" "4" "4" "4" "5" "5" "5" "4" "5" "5" "5" "5"
## [7579] "5" "5" "5" "5" "5" "5" "4" "4" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5"
## [7597] "5" "4" "4" "5" "5" "1" "1" "4" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5"
## [7615] "4" "5" "4" "4" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4" "5" "5" "1" "5"
## [7633] "4" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5" "4" "5" "4" "4" "5" "1" "5"
## [7651] "5" "4" "5" "4" "5" "5" "5" "5" "4" "4" "4" "5" "5" "5" "1" "5" "5" "1"
## [7669] "5" "4" "4" "4" "4" "1" "5" "5" "5" "5" "5" "4" "1" "5" "5" "1" "5" "5"
## [7687] "4" "5" "5" "1" "5" "1" "4" "1" "5" "4" "5" "4" "1" "1" "1" "5" "4" "5"
## [7705] "5" "4" "5" "5" "5" "5" "4" "5" "4" "4" "5" "1" "5" "5" "5" "5" "4" "5"
## [7723] "1" "4" "5" "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5"
## [7741] "5" "5" "4" "5" "4" "5" "5" "1" "1" "4" "5" "5" "5" "1" "5" "4" "1" "5"
## [7759] "5" "5" "1" "4" "5" "1" "1" "5" "5" "1" "4" "5" "5" "5" "5" "1" "5" "5"
## [7777] "5" "5" "4" "4" "4" "1" "1" "1" "5" "5" "1" "4" "5" "5" "1" "1" "1" "5"
## [7795] "5" "1" "4" "5" "5" "4" "5" "4" "5" "1" "5" "1" "5" "4" "5" "5" "5" "5"
## [7813] "1" "5" "5" "5" "5" "1" "5" "4" "5" "1" "5" "4" "5" "1" "4" "5" "5" "5"
## [7831] "1" "5" "5" "4" "1" "5" "5" "4" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [7849] "5" "4" "4" "5" "5" "1" "1" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [7867] "1" "5" "5" "1" "4" "5" "4" "5" "5" "5" "5" "1" "1" "5" "5" "5" "4" "5"
## [7885] "5" "4" "5" "1" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "1" "5"
## [7903] "5" "5" "1" "4" "1" "4" "4" "1" "5" "5" "4" "4" "1" "5" "5" "5" "5" "5"
## [7921] "5" "4" "1" "5" "5" "5" "1" "4" "1" "5" "5" "5" "4" "5" "1" "5" "5" "5"
## [7939] "5" "1" "4" "5" "5" "5" "5" "4" "5" "1" "1" "5" "1" "1" "5" "4" "5" "4"
## [7957] "5" "4" "5" "1" "5" "5" "5" "5" "5" "4" "1" "4" "5" "5" "4" "5" "5" "4"
## [7975] "4" "5" "4" "4" "5" "1" "4" "5" "5" "5" "4" "5" "5" "1" "5" "5" "1" "5"
## [7993] "1" "5" "4" "5" "5" "4" "4" "5" "5" "5" "4" "5" "4" "5" "5" "5" "4" "4"
## [8011] "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4"
## [8029] "1" "1" "5" "1" "4" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "1" "4" "5"
## [8047] "4" "5" "1" "4" "1" "1" "5" "1" "1" "4" "4" "5" "5" "5" "5" "5" "5" "4"
## [8065] "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4" "4" "1" "5" "5"
## [8083] "4" "1" "5" "5" "5" "4" "1" "5" "5" "5" "5" "4" "5" "4" "5" "1" "1" "5"
## [8101] "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4" "4" "5" "4" "5"
## [8119] "4" "4" "4" "1" "5" "4" "5" "4" "5" "4" "4" "4" "5" "4" "5" "1" "5" "5"
## [8137] "5" "1" "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "1" "1" "5" "5"
## [8155] "5" "4" "5" "4" "4" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1"
## [8173] "4" "1" "5" "1" "4" "5" "5" "5" "5" "5" "1" "5" "4" "5" "4" "5" "4" "5"
## [8191] "5" "1" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "4" "4" "1" "1" "5" "4"
## [8209] "5" "1" "5" "4" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "1" "5" "5" "1"
## [8227] "5" "4" "1" "5" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5" "1" "4" "1" "4"
## [8245] "1" "5" "5" "5" "5" "5" "4" "4" "4" "5" "5" "5" "5" "1" "1" "4" "5" "5"
## [8263] "4" "1" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "1"
## [8281] "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5"
## [8299] "5" "4" "5" "5" "4" "5" "5" "5" "5" "4" "4" "1" "5" "5" "4" "5" "4" "1"
## [8317] "4" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5"
## [8335] "1" "4" "5" "5" "4" "5" "5" "1" "5" "5" "4" "5" "5" "1" "5" "5" "4" "1"
## [8353] "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "1" "5" "1" "4"
## [8371] "5" "5" "5" "1" "4" "5" "5" "5" "4" "5" "4" "4" "4" "4" "5" "5" "5" "5"
## [8389] "4" "4" "4" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "4" "4"
## [8407] "1" "4" "5" "5" "4" "5" "5" "4" "4" "5" "4" "4" "5" "1" "4" "5" "5" "5"
## [8425] "5" "4" "5" "5" "5" "4" "1" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "1"
## [8443] "4" "5" "1" "1" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5"
## [8461] "4" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5"
## [8479] "5" "1" "5" "5" "5" "4" "4" "4" "5" "1" "5" "1" "5" "5" "5" "4" "1" "5"
## [8497] "4" "1" "4" "4" "4" "5" "1" "5" "5" "5" "5" "5" "5" "1" "1" "5" "1" "1"
## [8515] "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "1" "4"
## [8533] "5" "4" "1" "4" "5" "5" "1" "5" "1" "1" "5" "5" "5" "5" "1" "5" "1" "4"
## [8551] "5" "1" "4" "5" "5" "5" "1" "5" "5" "4" "5" "1" "1" "1" "4" "4" "5" "5"
## [8569] "5" "5" "5" "5" "5" "1" "5" "5" "5" "4" "4" "5" "5" "5" "1" "4" "4" "4"
## [8587] "5" "1" "5" "1" "1" "5" "4" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5"
## [8605] "5" "4" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5"
## [8623] "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "4" "1" "1" "1" "5" "1" "5" "5"
## [8641] "1" "1" "5" "5" "5" "4" "4" "1" "4" "5" "1" "5" "5" "5" "5" "4" "4" "1"
## [8659] "5" "5" "5" "4" "4" "1" "4" "1" "4" "5" "5" "1" "4" "1" "5" "1" "5" "5"
## [8677] "5" "5" "5" "4" "5" "5" "4" "1" "1" "4" "4" "5" "4" "5" "4" "5" "1" "5"
## [8695] "1" "5" "5" "5" "1" "4" "5" "5" "4" "4" "5" "4" "4" "1" "5" "5" "1" "1"
## [8713] "5" "5" "5" "5" "4" "5" "5" "5" "4" "1" "5" "5" "5" "5" "4" "4" "4" "5"
## [8731] "5" "1" "5" "5" "1" "5" "5" "5" "1" "5" "1" "4" "1" "5" "4" "1" "4" "5"
## [8749] "5" "4" "5" "5" "5" "5" "4" "1" "5" "5" "1" "1" "5" "5" "5" "4" "5" "1"
## [8767] "5" "4" "1" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "4" "4" "5" "5"
## [8785] "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "1" "4" "5" "5" "4" "5" "5"
## [8803] "4" "5" "5" "4" "1" "4" "5" "5" "5" "4" "5" "5" "4" "5" "1" "4" "5" "5"
## [8821] "1" "5" "5" "5" "1" "5" "5" "4" "4" "5" "4" "5" "5" "5" "5" "5" "5" "1"
## [8839] "5" "4" "5" "5" "5" "1" "5" "5" "4" "4" "5" "5" "4" "5" "5" "4" "5" "5"
## [8857] "1" "5" "5" "5" "1" "1" "4" "5" "1" "5" "5" "5" "5" "5" "4" "1" "1" "5"
## [8875] "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "1" "5"
## [8893] "4" "5" "5" "5" "1" "5" "4" "5" "4" "5" "5" "1" "5" "5" "1" "5" "1" "4"
## [8911] "5" "5" "4" "1" "5" "5" "1" "5" "5" "1" "5" "1" "5" "5" "5" "1" "4" "1"
## [8929] "5" "5" "1" "5" "4" "1" "1" "4" "5" "5" "1" "5" "4" "5" "1" "4" "5" "5"
## [8947] "4" "5" "5" "1" "1" "4" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5"
## [8965] "1" "5" "5" "4" "5" "5" "5" "1" "1" "1" "5" "4" "4" "5" "5" "4" "4" "4"
## [8983] "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "4" "4" "5" "5"
## [9001] "1" "5" "4" "1" "4" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5"
## [9019] "1" "1" "4" "5" "1" "5" "4" "1" "5" "5" "5" "1" "1" "5" "4" "4" "5" "5"
## [9037] "5" "4" "4" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5"
## [9055] "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5"
## [9073] "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "1" "1" "5" "5" "1" "1"
## [9091] "1" "4" "1" "4" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5"
## [9109] "1" "4" "1" "5" "5" "5" "1" "4" "5" "5" "1" "5" "5" "5" "5" "4" "5" "4"
## [9127] "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "4" "5" "5"
## [9145] "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [9163] "5" "5" "1" "5" "1" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "4"
## [9181] "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5"
## [9199] "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5"
## [9217] "5" "5" "5" "5" "5" "4" "5" "5" "4" "4" "5" "1" "5" "5" "4" "4" "1" "1"
## [9235] "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "4" "5" "4" "4" "1" "5" "1" "5"
## [9253] "5" "5" "5" "5" "4" "4" "5" "5" "4" "5" "4" "4" "4" "5" "1" "5" "5" "5"
## [9271] "5" "5" "5" "5" "5" "4" "5" "1" "1" "5" "5" "1" "1" "5" "5" "5" "4" "5"
## [9289] "4" "5" "5" "1" "5" "5" "4" "4" "5" "5" "4" "1" "4" "1" "5" "1" "5" "4"
## [9307] "5" "4" "5" "4" "1" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5"
## [9325] "5" "5" "5" "1" "5" "4" "1" "5" "5" "5" "5" "5" "4" "5" "4" "4" "5" "5"
## [9343] "5" "5" "4" "1" "4" "4" "1" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [9361] "5" "4" "5" "5" "5" "5" "4" "4" "5" "5" "4" "1" "4" "5" "5" "5" "5" "4"
## [9379] "1" "5" "5" "5" "1" "5" "5" "1" "5" "5" "1" "4" "1" "4" "5" "5" "4" "4"
## [9397] "5" "5" "1" "4" "5" "5" "5" "1" "4" "5" "5" "5" "5" "1" "4" "5" "5" "4"
## [9415] "5" "5" "1" "5" "1" "4" "4" "4" "4" "5" "4" "5" "5" "5" "5" "4" "5" "1"
## [9433] "1" "4" "5" "5" "1" "1" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5"
## [9451] "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5"
## [9469] "5" "4" "5" "5" "1" "5" "5" "1" "5" "5" "1" "4" "5" "5" "4" "1" "4" "5"
## [9487] "1" "5" "5" "4" "1" "5" "5" "5" "4" "1" "5" "1" "4" "4" "5" "5" "5" "1"
## [9505] "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4"
## [9523] "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "1" "4" "5" "5" "4" "1" "5" "5"
## [9541] "5" "5" "4" "4" "5" "4" "5" "1" "5" "5" "5" "1" "5" "5" "1" "5" "4" "4"
## [9559] "1" "4" "1" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "4" "5"
## [9577] "1" "4" "5" "4" "5" "5" "5" "5" "4" "5" "4" "4" "5" "4" "5" "5" "5" "4"
## [9595] "5" "5" "1" "4" "5" "1" "4" "1" "4" "5" "4" "5" "4" "4" "1" "4" "4" "1"
## [9613] "5" "5" "4" "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "4" "5" "4" "5" "4"
## [9631] "5" "1" "5" "4" "5" "5" "1" "4" "4" "5" "5" "4" "5" "5" "4" "5" "5" "4"
## [9649] "5" "5" "5" "4" "4" "5" "5" "5" "1" "4" "5" "4" "5" "5" "5" "4" "5" "5"
## [9667] "1" "1" "4" "5" "5" "1" "1" "5" "4" "5" "5" "4" "5" "4" "5" "5" "5" "5"
## [9685] "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4"
## [9703] "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "5"
## [9721] "4" "4" "5" "4" "1" "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5"
## [9739] "4" "1" "4" "4" "5" "5" "1" "5" "5" "5" "1" "4" "4" "5" "5" "5" "5" "5"
## [9757] "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "4" "5" "5" "5" "5"
## [9775] "4" "5" "5" "4" "1" "4" "5" "4" "5" "5" "4" "4" "4" "4" "5" "5" "5" "4"
## [9793] "5" "5" "1" "5" "1" "5" "5" "4" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5"
## [9811] "4" "5" "5" "5" "5" "4" "5" "4" "5" "4" "1" "1" "4" "5" "4" "5" "5" "5"
## [9829] "5" "5" "4" "5" "5" "4" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4"
## [9847] "1" "5" "4" "5" "5" "1" "5" "4" "5" "4" "1" "5" "5" "4" "5" "5" "1" "1"
## [9865] "5" "1" "5" "4" "5" "4" "5" "4" "5" "5" "1" "4" "1" "5" "5" "4" "5" "5"
## [9883] "5" "4" "4" "5" "4" "4" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5"
## [9901] "5" "4" "1" "4" "4" "5" "5" "5" "5" "4" "5" "4" "5" "4" "4" "5" "5" "1"
## [9919] "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "4" "4" "5"
## [9937] "5" "5" "5" "5" "5" "1" "5" "5" "5" "4" "1" "5" "5" "1" "5" "1" "5" "5"
## [9955] "4" "4" "4" "4" "4" "1" "5" "1" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5"
## [9973] "5" "4" "4" "5" "5" "4" "5" "4" "1" "4" "5" "5" "5" "1" "5" "4" "1" "1"
## [9991] "1" "5" "5" "5" "4" "5" "5" "1" "1" "5" "5" "1" "1" "5" "5" "5" "5" "5"
## [10009] "4" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5" "5" "4" "5" "1" "1" "1" "5"
## [10027] "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5" "5"
## [10045] "5" "5" "4" "4" "5" "1" "5" "4" "5" "5" "5" "5" "4" "1" "5" "4" "4" "5"
## [10063] "5" "5" "4" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [10081] "5" "5" "5" "4" "4" "5" "4" "5" "5" "5" "4" "5" "5" "4" "4" "1" "4" "4"
## [10099] "4" "5" "1" "5" "1" "5" "5" "4" "1" "5" "5" "4" "5" "5" "4" "5" "4" "5"
## [10117] "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "4" "5" "5" "4" "4" "5"
## [10135] "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "4" "5" "4" "1" "1" "5" "1" "5"
## [10153] "4" "5" "4" "4" "1" "4" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "1"
## [10171] "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4"
## [10189] "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5"
## [10207] "5" "1" "5" "5" "5" "5" "5" "4" "5" "4" "4" "4" "5" "5" "4" "4" "5" "5"
## [10225] "5" "1" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "1"
## [10243] "5" "4" "5" "5" "5" "1" "5" "5" "5" "4" "1" "5" "4" "1" "5" "4" "5" "5"
## [10261] "5" "5" "5" "1" "5" "1" "1" "5" "5" "1" "1" "1" "5" "5" "5" "4" "4" "5"
## [10279] "5" "1" "5" "5" "4" "4" "5" "5" "5" "5" "1" "4" "1" "5" "5" "4" "5" "4"
## [10297] "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "1" "4" "5"
## [10315] "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "4" "4" "4" "1" "5"
## [10333] "4" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "4" "4" "5"
## [10351] "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5"
## [10369] "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5"
## [10387] "4" "4" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [10405] "5" "1" "5" "5" "5" "5" "4" "4" "4" "1" "5" "5" "4" "5" "1" "5" "5" "4"
## [10423] "5" "5" "4" "4" "4" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [10441] "4" "4" "5" "4" "1" "5" "1" "5" "5" "5" "4" "5" "5" "1" "5" "1" "5" "4"
## [10459] "4" "4" "5" "4" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1"
## [10477] "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "1" "5" "5"
## [10495] "5" "1" "1" "5" "4" "5" "5" "1" "5" "1" "5" "5" "5" "1" "1" "4" "5" "1"
## [10513] "5" "4" "1" "1" "4" "5" "4" "1" "5" "4" "5" "1" "5" "1" "1" "1" "4" "5"
## [10531] "5" "4" "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5"
## [10549] "5" "5" "5" "5" "5" "4" "5" "5" "1" "1" "5" "1" "5" "4" "5" "4" "4" "4"
## [10567] "4" "4" "4" "5" "5" "5" "1" "5" "5" "1" "5" "1" "4" "4" "4" "5" "5" "1"
## [10585] "4" "4" "1" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4"
## [10603] "1" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5"
## [10621] "5" "4" "1" "5" "4" "1" "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [10639] "5" "5" "5" "5" "5" "5" "5" "1" "4" "1" "5" "1" "4" "5" "4" "5" "5" "5"
## [10657] "4" "4" "5" "5" "4" "4" "5" "5" "5" "5" "4" "4" "5" "5" "5" "1" "5" "5"
## [10675] "4" "4" "5" "5" "5" "4" "4" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "4"
## [10693] "5" "5" "5" "5" "4" "1" "5" "1" "4" "1" "4" "5" "4" "5" "4" "5" "5" "4"
## [10711] "5" "4" "5" "4" "5" "1" "1" "5" "4" "5" "4" "1" "5" "5" "5" "4" "1" "5"
## [10729] "4" "1" "1" "4" "5" "4" "4" "5" "5" "1" "1" "5" "1" "5" "5" "4" "4" "5"
## [10747] "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "1"
## [10765] "1" "4" "1" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "1" "5" "1" "4" "4"
## [10783] "1" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "4"
## [10801] "5" "5" "4" "5" "5" "4" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5"
## [10819] "5" "4" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1"
## [10837] "4" "1" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5"
## [10855] "4" "4" "5" "5" "5" "5" "1" "4" "1" "4" "5" "1" "1" "4" "5" "4" "5" "4"
## [10873] "4" "5" "5" "1" "5" "5" "5" "4" "5" "5" "1" "4" "5" "4" "5" "5" "5" "5"
## [10891] "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1"
## [10909] "1" "5" "5" "4" "4" "1" "5" "5" "1" "5" "5" "5" "5" "1" "1" "5" "5" "1"
## [10927] "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "1" "5" "5" "5" "5" "5"
## [10945] "5" "5" "5" "4" "5" "1" "4" "5" "5" "4" "5" "5" "5" "4" "5" "4" "4" "5"
## [10963] "5" "4" "1" "5" "5" "5" "1" "4" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5"
## [10981] "5" "5" "4" "1" "4" "5" "1" "5" "5" "4" "4" "4" "5" "1" "5" "5" "1" "5"
## [10999] "1" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "4" "4" "5" "4" "4" "5" "5"
## [11017] "5" "5" "5" "5" "5" "4" "4" "5" "4" "5" "5" "5" "5" "1" "5" "1" "5" "4"
## [11035] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [11053] "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5"
## [11071] "5" "4" "4" "5" "5" "1" "5" "4" "4" "5" "1" "1" "4" "4" "1" "1" "4" "1"
## [11089] "5" "1" "5" "5" "1" "5" "4" "4" "4" "1" "1" "4" "5" "1" "1" "1" "5" "4"
## [11107] "5" "5" "1" "4" "5" "5" "5" "4" "5" "5" "4" "1" "4" "1" "5" "4" "5" "5"
## [11125] "5" "1" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "1"
## [11143] "1" "5" "5" "4" "4" "4" "5" "4" "5" "5" "1" "5" "1" "5" "5" "4" "1" "4"
## [11161] "1" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5"
## [11179] "5" "4" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "1" "5"
## [11197] "4" "1" "1" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5"
## [11215] "4" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "4"
## [11233] "1" "5" "5" "1" "4" "5" "5" "1" "1" "4" "4" "5" "5" "5" "4" "5" "5" "4"
## [11251] "4" "4" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "1" "4"
## [11269] "1" "1" "5" "1" "1" "5" "1" "5" "5" "1" "1" "5" "5" "4" "5" "5" "1" "5"
## [11287] "5" "5" "1" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "4" "1" "5" "5"
## [11305] "5" "1" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "4" "1" "5"
## [11323] "5" "4" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "4" "5" "5" "4"
## [11341] "5" "1" "4" "4" "5" "1" "4" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5" "4"
## [11359] "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "1" "5" "5" "5"
## [11377] "1" "1" "1" "5" "5" "5" "1" "1" "4" "5" "1" "5" "5" "4" "5" "5" "4" "4"
## [11395] "5" "4" "1" "4" "4" "5" "4" "5" "5" "5" "5" "5" "4" "5" "4" "4" "5" "5"
## [11413] "4" "5" "4" "5" "5" "5" "4" "4" "5" "5" "1" "5" "4" "5" "5" "5" "4" "4"
## [11431] "4" "5" "5" "1" "4" "1" "5" "1" "5" "5" "4" "1" "1" "5" "5" "5" "5" "5"
## [11449] "5" "1" "5" "5" "5" "5" "1" "1" "5" "4" "5" "5" "4" "4" "1" "5" "5" "5"
## [11467] "5" "5" "1" "5" "5" "4" "5" "4" "4" "1" "4" "5" "5" "4" "5" "1" "5" "5"
## [11485] "5" "5" "4" "5" "5" "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5"
## [11503] "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "1" "4" "5" "1" "5"
## [11521] "5" "5" "5" "4" "5" "5" "1" "1" "5" "1" "5" "5" "1" "5" "5" "5" "4" "5"
## [11539] "1" "5" "5" "1" "4" "4" "5" "5" "4" "4" "4" "4" "1" "5" "5" "1" "4" "5"
## [11557] "1" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "4" "5" "4" "1" "5"
## [11575] "5" "4" "1" "5" "1" "4" "4" "4" "5" "5" "5" "5" "4" "5" "1" "5" "1" "5"
## [11593] "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "5"
## [11611] "5" "4" "5" "4" "4" "5" "4" "5" "5" "5" "5" "4" "5" "4" "1" "4" "5" "5"
## [11629] "4" "5" "1" "5" "1" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "1"
## [11647] "1" "5" "1" "5" "5" "5" "5" "5" "5" "4" "1" "5" "5" "4" "5" "5" "1" "4"
## [11665] "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "1" "4" "5"
## [11683] "5" "4" "5" "5" "4" "5" "5" "4" "1" "1" "4" "4" "5" "5" "5" "5" "4" "5"
## [11701] "5" "4" "5" "4" "5" "5" "5" "1" "4" "5" "4" "4" "1" "5" "5" "1" "1" "5"
## [11719] "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "4" "5" "1" "1" "4" "5" "5" "5"
## [11737] "5" "5" "5" "5" "1" "5" "5" "4" "4" "4" "5" "5" "4" "1" "5" "5" "5" "5"
## [11755] "1" "1" "5" "5" "5" "4" "5" "4" "1" "4" "5" "5" "1" "1" "5" "5" "5" "5"
## [11773] "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "4" "5" "5" "5" "1" "4"
## [11791] "4" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5" "5" "4" "5" "1"
## [11809] "5" "5" "5" "1" "5" "5" "5" "4" "4" "4" "4" "5" "4" "4" "5" "4" "5" "5"
## [11827] "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "4" "5" "4"
## [11845] "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "4" "4" "5" "5" "5" "5" "5" "4"
## [11863] "1" "4" "5" "4" "5" "5" "4" "1" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5"
## [11881] "5" "5" "5" "1" "5" "5" "4" "5" "1" "5" "5" "5" "1" "4" "5" "1" "4" "5"
## [11899] "1" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5"
## [11917] "5" "1" "5" "4" "4" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5" "5" "4"
## [11935] "5" "5" "5" "1" "5" "4" "4" "5" "5" "4" "4" "5" "5" "1" "5" "4" "5" "4"
## [11953] "4" "1" "5" "5" "4" "4" "5" "4" "5" "5" "5" "5" "4" "1" "5" "5" "4" "4"
## [11971] "4" "1" "5" "5" "1" "5" "5" "4" "4" "5" "5" "4" "1" "5" "5" "5" "5" "1"
## [11989] "1" "1" "5" "5" "4" "4" "1" "5" "5" "5" "4" "1" "4" "1" "5" "5" "5" "5"
## [12007] "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5" "5" "4" "5" "4" "5" "4" "5"
## [12025] "5" "5" "1" "5" "5" "4" "5" "5" "5" "4" "1" "4" "5" "5" "5" "5" "5" "1"
## [12043] "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5"
## [12061] "5" "1" "5" "4" "4" "4" "1" "5" "1" "5" "5" "4" "5" "5" "4" "1" "5" "5"
## [12079] "4" "5" "1" "5" "1" "1" "5" "5" "5" "5" "5" "1" "5" "4" "5" "4" "1" "5"
## [12097] "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "1" "4" "1" "4" "5" "4" "5"
## [12115] "4" "1" "5" "1" "1" "1" "5" "1" "1" "5" "5" "5" "5" "5" "5" "1" "5" "4"
## [12133] "5" "5" "5" "1" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "4"
## [12151] "4" "5" "1" "4" "4" "5" "4" "5" "4" "5" "5" "5" "1" "5" "5" "5" "4" "5"
## [12169] "5" "5" "4" "5" "5" "1" "5" "5" "5" "1" "5" "4" "5" "1" "5" "5" "5" "5"
## [12187] "5" "5" "5" "5" "4" "5" "4" "5" "4" "4" "5" "5" "1" "5" "5" "5" "5" "5"
## [12205] "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4"
## [12223] "5" "5" "4" "1" "1" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1"
## [12241] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "1" "4" "5" "5" "4" "5"
## [12259] "5" "5" "5" "5" "1" "1" "5" "5" "4" "4" "4" "1" "4" "4" "5" "4" "5" "5"
## [12277] "5" "5" "1" "1" "4" "5" "5" "4" "4" "5" "5" "1" "1" "5" "4" "5" "5" "5"
## [12295] "5" "5" "5" "4" "4" "5" "5" "4" "5" "1" "5" "5" "1" "4" "4" "5" "4" "4"
## [12313] "5" "1" "5" "4" "5" "4" "5" "1" "5" "4" "5" "5" "5" "4" "5" "4" "5" "1"
## [12331] "5" "4" "5" "1" "1" "5" "4" "5" "4" "4" "5" "4" "5" "5" "5" "5" "4" "1"
## [12349] "5" "1" "5" "1" "5" "5" "1" "5" "4" "1" "5" "5" "5" "5" "4" "5" "5" "5"
## [12367] "5" "4" "4" "1" "1" "5" "5" "1" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5"
## [12385] "1" "5" "4" "5" "1" "4" "5" "5" "5" "5" "4" "5" "4" "5" "5" "1" "5" "1"
## [12403] "5" "5" "4" "1" "1" "1" "5" "5" "5" "1" "4" "5" "4" "1" "5" "5" "5" "4"
## [12421] "4" "1" "5" "5" "5" "1" "4" "1" "5" "4" "5" "1" "5" "5" "5" "5" "5" "4"
## [12439] "5" "1" "1" "5" "4" "1" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [12457] "1" "4" "1" "1" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "4" "1" "1"
## [12475] "5" "5" "1" "4" "5" "5" "1" "1" "4" "5" "4" "4" "4" "5" "4" "5" "5" "4"
## [12493] "5" "4" "1" "5" "5" "4" "5" "5" "1" "5" "1" "5" "5" "4" "4" "4" "4" "5"
## [12511] "5" "4" "5" "1" "4" "5" "5" "1" "4" "1" "1" "5" "1" "5" "5" "4" "4" "5"
## [12529] "4" "5" "1" "5" "5" "1" "5" "5" "5" "1" "1" "4" "5" "4" "1" "5" "5" "4"
## [12547] "5" "4" "5" "5" "1" "5" "4" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4"
## [12565] "5" "5" "5" "5" "1" "5" "4" "1" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5"
## [12583] "4" "4" "4" "4" "5" "5" "1" "5" "1" "1" "4" "1" "5" "5" "1" "1" "4" "1"
## [12601] "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "4"
## [12619] "5" "1" "5" "4" "4" "5" "5" "4" "5" "5" "5" "5" "5" "1" "1" "1" "5" "5"
## [12637] "5" "1" "5" "1" "5" "1" "4" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5" "1"
## [12655] "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "1" "4" "5" "4" "5" "1"
## [12673] "1" "5" "4" "4" "5" "5" "5" "5" "5" "4" "4" "5" "4" "5" "5" "5" "1" "5"
## [12691] "5" "5" "5" "4" "4" "4" "4" "1" "4" "5" "5" "4" "5" "5" "5" "5" "5" "4"
## [12709] "5" "4" "5" "5" "5" "1" "5" "1" "5" "1" "4" "1" "1" "1" "1" "1" "5" "5"
## [12727] "1" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "1" "5" "1" "1" "5"
## [12745] "5" "4" "4" "5" "4" "4" "5" "4" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5"
## [12763] "4" "5" "5" "5" "1" "1" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5"
## [12781] "1" "4" "4" "4" "5" "4" "1" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5"
## [12799] "5" "5" "5" "5" "5" "5" "4" "1" "1" "5" "4" "5" "5" "1" "5" "1" "4" "5"
## [12817] "4" "5" "4" "1" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1"
## [12835] "5" "5" "1" "4" "1" "5" "5" "4" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5"
## [12853] "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1"
## [12871] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "4" "1" "4" "5"
## [12889] "4" "5" "5" "1" "5" "1" "1" "5" "5" "4" "1" "5" "4" "4" "5" "5" "5" "4"
## [12907] "5" "5" "5" "1" "5" "5" "1" "1" "5" "5" "1" "1" "4" "5" "4" "4" "4" "1"
## [12925] "5" "5" "5" "1" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "4" "4" "5"
## [12943] "5" "5" "5" "1" "5" "5" "1" "4" "1" "5" "5" "5" "5" "4" "1" "4" "5" "4"
## [12961] "5" "1" "5" "1" "5" "5" "5" "5" "5" "1" "4" "5" "4" "1" "5" "1" "5" "5"
## [12979] "5" "5" "5" "4" "5" "5" "5" "4" "4" "4" "4" "5" "4" "1" "5" "4" "5" "5"
## [12997] "5" "4" "1" "4" "5" "5" "1" "4" "5" "4" "4" "1" "5" "5" "5" "4" "1" "1"
## [13015] "4" "1" "1" "1" "4" "5" "5" "4" "1" "4" "5" "4" "1" "4" "4" "4" "4" "5"
## [13033] "1" "5" "5" "4" "5" "4" "4" "5" "1" "4" "5" "4" "5" "5" "5" "5" "5" "5"
## [13051] "4" "5" "1" "4" "1" "4" "5" "1" "4" "5" "5" "1" "5" "4" "5" "1" "5" "4"
## [13069] "5" "1" "5" "5" "1" "1" "5" "5" "5" "1" "4" "5" "5" "1" "4" "1" "1" "5"
## [13087] "1" "4" "5" "5" "5" "5" "5" "5" "5" "4" "4" "4" "4" "5" "5" "5" "4" "4"
## [13105] "5" "4" "4" "5" "5" "5" "5" "5" "1" "5" "1" "5" "4" "4" "5" "5" "5" "5"
## [13123] "5" "1" "5" "5" "4" "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5"
## [13141] "5" "4" "5" "5" "1" "4" "5" "5" "4" "5" "4" "5" "4" "5" "5" "5" "5" "5"
## [13159] "5" "5" "4" "4" "4" "4" "5" "5" "4" "5" "5" "5" "5" "5" "1" "4" "5" "1"
## [13177] "1" "5" "4" "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5"
## [13195] "5" "4" "4" "4" "5" "5" "5" "4" "1" "5" "1" "5" "5" "5" "5" "5" "5" "1"
## [13213] "4" "5" "5" "4" "5" "1" "5" "1" "4" "5" "1" "5" "5" "4" "1" "5" "5" "5"
## [13231] "4" "4" "5" "5" "5" "1" "5" "1" "5" "5" "4" "4" "5" "4" "1" "5" "1" "5"
## [13249] "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "4" "1" "1" "1"
## [13267] "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "4" "5" "1" "5" "1" "5" "5"
## [13285] "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "4" "5" "5"
## [13303] "5" "5" "5" "1" "1" "5" "5" "1" "1" "1" "5" "5" "5" "4" "5" "4" "5" "5"
## [13321] "1" "5" "4" "1" "5" "5" "1" "5" "4" "4" "4" "4" "5" "5" "5" "5" "5" "5"
## [13339] "1" "5" "4" "1" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4"
## [13357] "1" "5" "1" "5" "5" "5" "1" "5" "5" "4" "5" "4" "5" "5" "4" "5" "1" "5"
## [13375] "5" "1" "1" "5" "1" "4" "1" "5" "5" "5" "5" "5" "5" "5" "4" "4" "4" "5"
## [13393] "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5"
## [13411] "5" "4" "4" "5" "5" "5" "1" "5" "5" "1" "5" "1" "5" "4" "5" "4" "5" "4"
## [13429] "5" "5" "4" "5" "5" "1" "1" "5" "4" "5" "1" "5" "4" "5" "1" "5" "4" "5"
## [13447] "5" "5" "5" "4" "1" "5" "5" "5" "5" "4" "1" "5" "4" "5" "4" "5" "4" "5"
## [13465] "5" "5" "5" "5" "5" "1" "5" "4" "4" "5" "5" "1" "5" "5" "5" "5" "1" "5"
## [13483] "4" "1" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5"
## [13501] "5" "1" "5" "1" "5" "4" "4" "5" "4" "5" "4" "1" "5" "4" "1" "5" "5" "5"
## [13519] "5" "4" "5" "4" "4" "5" "4" "1" "1" "5" "5" "5" "1" "1" "4" "1" "4" "1"
## [13537] "1" "5" "4" "5" "1" "5" "1" "1" "4" "5" "4" "5" "5" "4" "1" "5" "5" "5"
## [13555] "5" "5" "5" "1" "4" "1" "5" "1" "1" "5" "5" "1" "5" "4" "5" "1" "4" "4"
## [13573] "5" "5" "4" "5" "5" "5" "5" "1" "1" "4" "4" "5" "5" "5" "5" "1" "1" "4"
## [13591] "5" "4" "5" "1" "5" "1" "5" "4" "4" "5" "5" "4" "5" "4" "5" "5" "5" "5"
## [13609] "4" "5" "5" "5" "1" "4" "5" "1" "5" "1" "5" "4" "5" "5" "4" "5" "5" "4"
## [13627] "5" "5" "1" "5" "5" "5" "4" "4" "5" "5" "4" "4" "4" "5" "5" "5" "5" "5"
## [13645] "5" "5" "1" "5" "5" "5" "1" "1" "5" "5" "5" "4" "1" "4" "5" "4" "1" "5"
## [13663] "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "4" "4" "1" "5"
## [13681] "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5" "4" "1" "1" "5" "5" "5" "5"
## [13699] "4" "5" "1" "5" "5" "5" "1" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [13717] "1" "5" "1" "5" "5" "1" "4" "5" "5" "5" "1" "4" "4" "5" "5" "1" "5" "5"
## [13735] "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "1" "4" "5" "5"
## [13753] "5" "1" "5" "5" "5" "5" "5" "4" "5" "1" "5" "1" "1" "5" "4" "4" "5" "5"
## [13771] "1" "5" "4" "5" "5" "4" "4" "5" "5" "5" "4" "4" "5" "1" "1" "5" "1" "4"
## [13789] "4" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "5" "1" "5" "1" "4" "5" "5"
## [13807] "4" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "4" "5" "4" "1" "5" "4"
## [13825] "5" "1" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5"
## [13843] "4" "5" "5" "5" "4" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [13861] "1" "5" "1" "5" "1" "5" "5" "5" "4" "1" "5" "1" "1" "5" "5" "1" "5" "5"
## [13879] "5" "5" "5" "5" "1" "5" "4" "5" "4" "4" "1" "5" "1" "4" "5" "1" "5" "5"
## [13897] "5" "5" "5" "5" "4" "5" "4" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "4"
## [13915] "1" "5" "5" "4" "5" "5" "5" "1" "4" "5" "4" "5" "5" "1" "5" "1" "5" "5"
## [13933] "1" "5" "1" "5" "5" "5" "1" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5"
## [13951] "4" "5" "5" "5" "5" "1" "1" "5" "4" "5" "5" "1" "5" "5" "1" "4" "1" "4"
## [13969] "5" "5" "5" "1" "5" "5" "5" "1" "5" "1" "4" "1" "4" "5" "5" "5" "5" "5"
## [13987] "4" "5" "1" "4" "5" "5" "4" "5" "5" "4" "5" "4" "1" "1" "4" "5" "1" "1"
## [14005] "4" "5" "5" "5" "4" "5" "4" "1" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5"
## [14023] "4" "1" "5" "5" "5" "1" "1" "5" "5" "1" "4" "5" "4" "1" "4" "5" "4" "5"
## [14041] "5" "4" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "4"
## [14059] "5" "5" "5" "5" "5" "4" "1" "4" "5" "4" "1" "5" "4" "1" "5" "5" "5" "5"
## [14077] "5" "5" "4" "5" "5" "1" "4" "4" "4" "4" "5" "5" "5" "1" "5" "5" "5" "4"
## [14095] "5" "4" "1" "4" "4" "5" "5" "4" "5" "5" "4" "4" "5" "4" "5" "5" "5" "1"
## [14113] "5" "5" "4" "5" "5" "4" "5" "1" "4" "5" "5" "4" "5" "1" "1" "5" "4" "5"
## [14131] "1" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "1" "1" "1" "5" "5"
## [14149] "4" "5" "4" "1" "5" "4" "5" "4" "1" "4" "1" "5" "4" "5" "5" "1" "5" "5"
## [14167] "1" "5" "5" "1" "4" "5" "5" "5" "4" "5" "1" "5" "5" "1" "5" "5" "5" "5"
## [14185] "5" "5" "5" "4" "1" "5" "1" "5" "1" "5" "5" "4" "5" "5" "4" "5" "5" "5"
## [14203] "4" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [14221] "1" "5" "4" "5" "5" "5" "1" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4"
## [14239] "4" "5" "5" "5" "4" "5" "5" "4" "4" "5" "1" "4" "4" "5" "4" "4" "5" "5"
## [14257] "5" "5" "4" "1" "1" "5" "4" "5" "5" "5" "4" "5" "5" "4" "5" "4" "1" "5"
## [14275] "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "1" "5" "5" "5" "5" "4"
## [14293] "5" "4" "5" "5" "5" "1" "4" "4" "5" "4" "1" "1" "5" "4" "5" "5" "5" "4"
## [14311] "4" "1" "1" "1" "1" "4" "5" "1" "5" "1" "4" "4" "5" "5" "4" "1" "5" "5"
## [14329] "4" "5" "5" "4" "5" "4" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5"
## [14347] "5" "5" "1" "4" "1" "5" "5" "4" "5" "5" "4" "4" "5" "5" "5" "5" "5" "1"
## [14365] "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "4" "1" "4" "1"
## [14383] "1" "5" "1" "5" "1" "4" "5" "4" "1" "5" "5" "5" "4" "5" "5" "5" "5" "1"
## [14401] "5" "4" "5" "5" "1" "5" "4" "5" "4" "1" "1" "1" "4" "5" "4" "5" "4" "4"
## [14419] "5" "5" "4" "4" "5" "5" "4" "1" "5" "5" "4" "5" "1" "4" "5" "1" "5" "5"
## [14437] "5" "5" "4" "4" "5" "5" "1" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5"
## [14455] "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "4" "5" "5" "5" "5"
## [14473] "4" "5" "5" "4" "4" "5" "5" "4" "5" "5" "5" "4" "4" "4" "4" "5" "5" "4"
## [14491] "1" "5" "4" "5" "5" "5" "5" "5" "5" "1" "1" "5" "1" "5" "5" "5" "4" "5"
## [14509] "5" "5" "1" "5" "5" "4" "5" "5" "1" "4" "5" "1" "4" "5" "5" "4" "5" "5"
## [14527] "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "4" "5" "5" "4"
## [14545] "5" "4" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5"
## [14563] "5" "5" "4" "5" "4" "5" "5" "1" "1" "4" "4" "4" "5" "4" "5" "5" "4" "4"
## [14581] "5" "5" "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1" "1" "5" "4"
## [14599] "5" "5" "1" "1" "1" "5" "5" "5" "4" "4" "5" "4" "1" "4" "5" "5" "4" "5"
## [14617] "4" "5" "5" "4" "1" "5" "5" "4" "5" "5" "5" "5" "4" "4" "1" "5" "4" "4"
## [14635] "4" "5" "4" "1" "5" "4" "5" "5" "5" "1" "1" "5" "5" "1" "1" "4" "1" "5"
## [14653] "5" "4" "5" "5" "5" "5" "5" "1" "1" "5" "4" "4" "5" "4" "5" "5" "5" "5"
## [14671] "5" "4" "5" "5" "4" "1" "5" "5" "5" "4" "5" "4" "5" "4" "4" "4" "4" "5"
## [14689] "5" "5" "1" "4" "4" "4" "5" "5" "5" "5" "4" "5" "5" "1" "4" "5" "5" "5"
## [14707] "4" "5" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [14725] "4" "5" "5" "1" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "4" "4" "5"
## [14743] "4" "5" "5" "4" "1" "5" "1" "1" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5"
## [14761] "5" "5" "5" "1" "5" "4" "4" "1" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5"
## [14779] "5" "1" "5" "5" "5" "1" "4" "5" "5" "1" "4" "1" "4" "5" "4" "5" "5" "5"
## [14797] "5" "5" "5" "4" "5" "5" "4" "4" "1" "1" "1" "5" "4" "5" "5" "5" "5" "5"
## [14815] "5" "5" "4" "5" "1" "5" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "5" "4"
## [14833] "5" "5" "4" "5" "1" "1" "1" "5" "4" "5" "4" "5" "5" "1" "1" "5" "5" "1"
## [14851] "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "4"
## [14869] "5" "4" "4" "5" "5" "5" "5" "1" "4" "1" "4" "5" "5" "5" "4" "4" "5" "5"
## [14887] "4" "5" "1" "1" "4" "1" "5" "5" "4" "5" "4" "5" "5" "5" "1" "5" "5" "1"
## [14905] "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "4" "1" "5" "5" "4" "1"
## [14923] "4" "4" "5" "1" "4" "1" "4" "4" "4" "5" "4" "1" "5" "5" "5" "5" "5" "5"
## [14941] "4" "5" "1" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5"
## [14959] "4" "1" "4" "5" "5" "5" "5" "5" "5" "4" "1" "4" "5" "5" "1" "5" "1" "5"
## [14977] "5" "4" "5" "5" "4" "4" "1" "1" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5"
## [14995] "5" "4" "5" "5" "1" "5" "1" "4" "5" "5" "1" "5" "5" "5" "4" "4" "4" "1"
## [15013] "5" "5" "1" "5" "5" "1" "5" "1" "1" "5" "5" "5" "1" "5" "5" "4" "1" "1"
## [15031] "5" "5" "5" "4" "1" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "5" "1" "4"
## [15049] "1" "5" "5" "1" "4" "1" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "4" "5"
## [15067] "5" "5" "4" "1" "5" "4" "5" "1" "5" "1" "5" "5" "5" "1" "4" "5" "1" "4"
## [15085] "1" "4" "5" "4" "5" "1" "5" "5" "4" "1" "5" "5" "4" "5" "4" "5" "1" "5"
## [15103] "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "4" "4" "5" "5" "1" "5"
## [15121] "1" "5" "5" "5" "4" "1" "4" "5" "4" "5" "5" "5" "1" "1" "4" "5" "5" "1"
## [15139] "5" "5" "4" "4" "5" "5" "1" "5" "4" "1" "1" "4" "5" "1" "5" "5" "5" "5"
## [15157] "5" "4" "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5"
## [15175] "4" "5" "5" "5" "1" "5" "1" "4" "1" "5" "4" "5" "5" "5" "4" "5" "1" "5"
## [15193] "5" "4" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "1" "1" "4"
## [15211] "5" "4" "5" "5" "5" "4" "4" "5" "1" "5" "5" "5" "5" "5" "4" "1" "5" "5"
## [15229] "4" "5" "5" "1" "4" "4" "4" "1" "5" "4" "4" "1" "1" "4" "1" "1" "5" "5"
## [15247] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "4" "5" "1" "5" "5" "5" "5"
## [15265] "1" "5" "4" "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5"
## [15283] "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5"
## [15301] "4" "1" "5" "5" "5" "1" "4" "4" "4" "5" "4" "5" "5" "5" "5" "1" "1" "4"
## [15319] "1" "1" "5" "5" "1" "1" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5"
## [15337] "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "1" "5" "5" "5" "4"
## [15355] "5" "5" "1" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "1" "1" "5" "4"
## [15373] "1" "4" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "4"
## [15391] "5" "4" "5" "5" "4" "4" "1" "1" "5" "5" "5" "5" "4" "1" "1" "5" "1" "5"
## [15409] "5" "5" "5" "1" "4" "5" "4" "5" "5" "4" "1" "4" "5" "1" "5" "4" "5" "5"
## [15427] "5" "5" "5" "5" "4" "5" "5" "4" "4" "4" "1" "5" "4" "4" "5" "1" "5" "4"
## [15445] "5" "5" "1" "1" "5" "4" "1" "5" "5" "5" "1" "5" "4" "5" "4" "5" "1" "4"
## [15463] "5" "5" "4" "4" "5" "5" "1" "4" "5" "1" "5" "5" "1" "5" "5" "1" "5" "4"
## [15481] "5" "5" "5" "5" "5" "5" "5" "4" "4" "4" "5" "4" "5" "5" "5" "1" "1" "1"
## [15499] "5" "5" "4" "4" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "4" "1"
## [15517] "5" "1" "4" "5" "4" "4" "4" "5" "4" "5" "5" "1" "5" "4" "5" "4" "1" "5"
## [15535] "4" "5" "5" "4" "5" "5" "4" "4" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5"
## [15553] "5" "1" "1" "5" "5" "1" "5" "4" "4" "5" "5" "5" "5" "5" "4" "5" "5" "4"
## [15571] "5" "5" "5" "5" "4" "1" "5" "1" "5" "4" "1" "5" "5" "5" "1" "5" "5" "1"
## [15589] "5" "5" "1" "5" "1" "1" "4" "4" "1" "5" "5" "5" "4" "1" "1" "5" "4" "4"
## [15607] "1" "1" "5" "5" "5" "5" "5" "4" "5" "4" "5" "4" "5" "4" "5" "5" "5" "4"
## [15625] "5" "1" "5" "4" "1" "5" "5" "4" "5" "1" "5" "4" "5" "5" "4" "4" "4" "5"
## [15643] "4" "5" "1" "5" "5" "4" "1" "5" "5" "5" "1" "4" "1" "1" "5" "5" "5" "5"
## [15661] "4" "4" "1" "1" "4" "1" "4" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "4"
## [15679] "5" "5" "4" "1" "5" "4" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "4"
## [15697] "4" "4" "5" "5" "1" "1" "1" "4" "5" "5" "5" "4" "5" "5" "5" "4" "5" "1"
## [15715] "5" "5" "5" "4" "4" "5" "5" "5" "1" "4" "1" "4" "5" "1" "5" "4" "1" "4"
## [15733] "4" "5" "1" "1" "5" "5" "4" "5" "5" "1" "5" "1" "5" "4" "5" "5" "1" "4"
## [15751] "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "5" "1"
## [15769] "5" "1" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5" "5" "1" "1"
## [15787] "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "4"
## [15805] "5" "4" "5" "4" "1" "4" "4" "5" "5" "1" "4" "5" "4" "1" "5" "5" "5" "5"
## [15823] "5" "1" "5" "5" "5" "1" "1" "5" "5" "5" "5" "4" "4" "5" "1" "5" "1" "1"
## [15841] "5" "1" "4" "5" "5" "5" "1" "5" "1" "4" "5" "4" "5" "5" "5" "5" "5" "4"
## [15859] "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "1" "5" "5" "5"
## [15877] "4" "4" "1" "5" "5" "4" "4" "4" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5"
## [15895] "1" "4" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5"
## [15913] "1" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "1" "5" "1"
## [15931] "4" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4" "5" "4"
## [15949] "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "4" "1" "5" "5" "1" "1" "5" "1"
## [15967] "5" "5" "5" "1" "4" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "1"
## [15985] "4" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "1" "4" "4" "5" "5" "5"
## [16003] "5" "5" "5" "5" "4" "4" "5" "4" "5" "4" "4" "1" "4" "5" "4" "5" "1" "5"
## [16021] "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "1" "4" "5" "5" "4" "5" "5" "1"
## [16039] "4" "4" "4" "5" "1" "1" "5" "5" "4" "5" "4" "5" "1" "4" "4" "5" "1" "5"
## [16057] "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "1"
## [16075] "5" "4" "5" "5" "1" "5" "5" "5" "4" "5" "5" "1" "1" "5" "4" "5" "5" "5"
## [16093] "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5"
## [16111] "4" "1" "5" "5" "5" "5" "4" "5" "1" "1" "4" "4" "5" "4" "5" "5" "1" "5"
## [16129] "5" "5" "5" "5" "4" "5" "4" "5" "5" "1" "5" "4" "4" "4" "5" "5" "4" "4"
## [16147] "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "4" "1" "5" "5" "5" "5"
## [16165] "5" "5" "5" "1" "5" "4" "5" "4" "5" "5" "1" "1" "5" "5" "5" "5" "5" "4"
## [16183] "5" "4" "1" "5" "5" "4" "5" "4" "5" "5" "5" "1" "1" "1" "5" "5" "4" "1"
## [16201] "1" "4" "5" "4" "5" "4" "5" "5" "4" "1" "5" "5" "1" "5" "5" "4" "1" "5"
## [16219] "5" "4" "5" "5" "5" "4" "5" "4" "5" "5" "1" "5" "1" "5" "1" "5" "5" "5"
## [16237] "5" "5" "5" "5" "4" "4" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5"
## [16255] "5" "1" "4" "5" "5" "1" "4" "4" "5" "5" "5" "5" "1" "5" "4" "4" "5" "5"
## [16273] "5" "1" "1" "5" "4" "4" "5" "5" "1" "4" "5" "1" "5" "5" "5" "5" "5" "5"
## [16291] "5" "5" "1" "1" "1" "5" "5" "5" "5" "1" "4" "5" "5" "4" "5" "5" "1" "5"
## [16309] "5" "5" "5" "4" "5" "4" "4" "5" "5" "1" "5" "5" "4" "4" "1" "5" "5" "4"
## [16327] "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "4" "5" "5" "5" "4" "4"
## [16345] "4" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5"
## [16363] "1" "4" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "4" "5"
## [16381] "5" "5" "1" "5" "5" "4" "4" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [16399] "5" "4" "5" "1" "5" "5" "5" "5" "4" "5" "4" "5" "1" "5" "1" "4" "5" "5"
## [16417] "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "4" "5" "1" "5" "5"
## [16435] "5" "4" "5" "5" "1" "1" "4" "1" "4" "5" "4" "5" "5" "1" "4" "5" "5" "5"
## [16453] "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "4" "4" "5" "5" "5"
## [16471] "5" "5" "5" "5" "4" "5" "5" "4" "5" "4" "5" "1" "5" "4" "5" "1" "5" "5"
## [16489] "4" "5" "4" "5" "5" "1" "1" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5"
## [16507] "4" "5" "4" "5" "5" "1" "5" "5" "5" "4" "5" "1" "5" "5" "5" "1" "4" "4"
## [16525] "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "4"
## [16543] "1" "5" "5" "5" "1" "5" "5" "5" "4" "5" "4" "4" "4" "5" "4" "1" "5" "5"
## [16561] "1" "1" "5" "4" "5" "4" "5" "5" "5" "4" "4" "1" "5" "4" "5" "5" "5" "4"
## [16579] "5" "5" "4" "1" "5" "4" "5" "4" "5" "5" "5" "5" "5" "1" "1" "5" "5" "1"
## [16597] "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "4"
## [16615] "5" "4" "5" "4" "1" "4" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [16633] "5" "4" "5" "4" "5" "1" "5" "4" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [16651] "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "4" "1" "5" "5" "5" "5" "1" "5"
## [16669] "5" "4" "1" "5" "5" "4" "5" "5" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5"
## [16687] "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1" "4" "5" "1"
## [16705] "5" "1" "4" "5" "5" "4" "5" "4" "1" "1" "5" "1" "4" "5" "5" "4" "5" "5"
## [16723] "5" "5" "1" "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [16741] "5" "4" "5" "5" "4" "5" "4" "5" "5" "5" "4" "4" "5" "5" "5" "1" "4" "5"
## [16759] "4" "5" "5" "5" "5" "5" "1" "5" "4" "4" "5" "5" "1" "5" "5" "5" "4" "4"
## [16777] "5" "5" "5" "1" "5" "5" "4" "1" "5" "1" "1" "5" "1" "5" "5" "1" "4" "5"
## [16795] "5" "5" "1" "5" "1" "5" "5" "5" "4" "1" "5" "5" "5" "4" "4" "1" "4" "5"
## [16813] "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "4" "1" "4" "5" "1" "1"
## [16831] "5" "5" "4" "5" "5" "5" "4" "5" "1" "5" "1" "5" "1" "5" "5" "5" "4" "5"
## [16849] "4" "4" "5" "1" "1" "5" "5" "4" "5" "5" "5" "4" "1" "4" "5" "5" "5" "5"
## [16867] "5" "4" "5" "4" "5" "1" "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5" "5"
## [16885] "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "4" "1" "1" "5"
## [16903] "5" "5" "5" "5" "5" "1" "1" "5" "5" "4" "5" "1" "5" "5" "5" "4" "5" "5"
## [16921] "1" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "1" "1" "4" "5" "5" "4" "4"
## [16939] "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "4" "4"
## [16957] "1" "4" "5" "5" "1" "5" "5" "1" "1" "1" "5" "1" "1" "4" "5" "1" "5" "5"
## [16975] "5" "5" "5" "5" "5" "1" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [16993] "5" "5" "1" "1" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5"
## [17011] "5" "4" "1" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "4"
## [17029] "4" "5" "4" "4" "5" "1" "5" "1" "1" "4" "5" "5" "5" "5" "1" "5" "4" "5"
## [17047] "5" "1" "5" "1" "5" "5" "5" "4" "5" "5" "1" "4" "5" "5" "4" "4" "5" "4"
## [17065] "5" "5" "1" "5" "5" "4" "1" "4" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5"
## [17083] "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "4" "5" "1" "5" "5"
## [17101] "5" "5" "5" "5" "1" "5" "4" "4" "1" "5" "1" "5" "5" "5" "5" "5" "4" "1"
## [17119] "5" "5" "1" "5" "5" "5" "5" "5" "4" "1" "5" "4" "5" "4" "4" "4" "5" "5"
## [17137] "5" "5" "1" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "4" "4"
## [17155] "5" "4" "4" "4" "5" "5" "4" "4" "4" "5" "4" "1" "1" "5" "1" "5" "4" "5"
## [17173] "5" "5" "1" "5" "1" "5" "4" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "4"
## [17191] "4" "1" "5" "4" "5" "5" "5" "5" "1" "5" "4" "5" "5" "1" "5" "5" "5" "5"
## [17209] "4" "1" "5" "1" "4" "1" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4" "4" "4"
## [17227] "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "4" "1" "5" "4" "5" "5" "5" "5"
## [17245] "1" "4" "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "1" "5" "5"
## [17263] "1" "5" "1" "5" "4" "4" "5" "5" "5" "5" "5" "4" "1" "4" "4" "4" "1" "5"
## [17281] "4" "1" "1" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "4" "4" "5"
## [17299] "4" "5" "1" "4" "4" "5" "4" "4" "5" "5" "1" "4" "5" "5" "5" "5" "4" "5"
## [17317] "5" "1" "5" "5" "5" "4" "5" "1" "1" "4" "4" "5" "5" "5" "4" "4" "4" "5"
## [17335] "1" "5" "4" "5" "5" "4" "5" "5" "1" "5" "1" "5" "5" "5" "1" "4" "4" "4"
## [17353] "5" "1" "4" "1" "5" "5" "5" "1" "1" "4" "4" "5" "5" "5" "5" "5" "5" "1"
## [17371] "5" "1" "5" "5" "1" "5" "4" "5" "4" "1" "4" "5" "5" "1" "4" "4" "5" "5"
## [17389] "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "1" "1" "5" "1" "1" "5" "4" "5"
## [17407] "5" "4" "5" "5" "5" "1" "1" "5" "5" "4" "5" "1" "1" "4" "4" "5" "4" "5"
## [17425] "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [17443] "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "1" "5"
## [17461] "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "1" "4" "4" "5" "5"
## [17479] "4" "5" "5" "1" "4" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "4"
## [17497] "4" "5" "4" "4" "5" "5" "5" "4" "4" "1" "1" "5" "5" "1" "5" "1" "5" "4"
## [17515] "5" "4" "5" "5" "4" "4" "5" "4" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5"
## [17533] "4" "1" "5" "5" "5" "1" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "5" "5"
## [17551] "5" "5" "1" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "4" "1"
## [17569] "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "1" "5" "5" "5" "4" "1" "5" "5"
## [17587] "5" "5" "4" "1" "5" "5" "1" "4" "4" "5" "5" "5" "5" "1" "1" "5" "4" "5"
## [17605] "5" "4" "5" "5" "5" "4" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [17623] "5" "5" "5" "5" "4" "1" "5" "4" "5" "4" "5" "5" "4" "5" "5" "1" "1" "5"
## [17641] "5" "1" "5" "5" "4" "1" "5" "4" "4" "1" "5" "1" "1" "5" "1" "4" "5" "4"
## [17659] "5" "1" "1" "4" "5" "4" "5" "5" "5" "1" "5" "5" "4" "5" "5" "4" "5" "4"
## [17677] "4" "4" "5" "5" "1" "4" "5" "1" "4" "4" "5" "5" "5" "1" "5" "4" "4" "5"
## [17695] "1" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "4" "4" "5" "4" "5" "4"
## [17713] "5" "4" "5" "4" "5" "1" "4" "4" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5"
## [17731] "1" "5" "5" "1" "5" "4" "5" "5" "5" "5" "1" "4" "5" "4" "5" "4" "5" "1"
## [17749] "1" "1" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5"
## [17767] "5" "5" "1" "5" "5" "5" "5" "1" "4" "5" "5" "5" "4" "1" "1" "5" "5" "1"
## [17785] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5"
## [17803] "4" "4" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5" "5" "5" "4" "5" "5" "5"
## [17821] "4" "4" "5" "1" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5"
## [17839] "5" "4" "5" "5" "5" "4" "4" "4" "5" "1" "5" "4" "5" "1" "4" "5" "5" "5"
## [17857] "5" "4" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5"
## [17875] "5" "4" "5" "4" "1" "1" "1" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [17893] "1" "4" "5" "5" "5" "1" "5" "1" "5" "5" "5" "1" "5" "5" "4" "5" "1" "5"
## [17911] "1" "5" "5" "5" "5" "1" "4" "1" "5" "5" "4" "1" "5" "4" "4" "5" "1" "5"
## [17929] "5" "5" "5" "5" "5" "4" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "1"
## [17947] "5" "5" "5" "1" "1" "5" "5" "5" "1" "4" "5" "5" "1" "4" "5" "1" "5" "5"
## [17965] "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "4"
## [17983] "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "1" "5" "5" "1" "5"
## [18001] "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5"
## [18019] "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "4" "5" "1" "1" "5"
## [18037] "5" "4" "1" "1" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "4"
## [18055] "4" "5" "4" "5" "1" "4" "1" "4" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5"
## [18073] "5" "5" "5" "5" "1" "5" "4" "4" "4" "5" "5" "4" "5" "1" "5" "5" "5" "5"
## [18091] "5" "1" "1" "1" "5" "5" "5" "5" "4" "5" "4" "1" "4" "4" "1" "5" "1" "4"
## [18109] "1" "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "1" "1" "5" "5" "4"
## [18127] "4" "5" "5" "1" "1" "5" "5" "5" "4" "5" "5" "1" "4" "4" "5" "4" "5" "5"
## [18145] "5" "5" "1" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "1" "4" "5" "5" "4"
## [18163] "5" "1" "4" "5" "5" "4" "5" "5" "5" "1" "5" "5" "4" "5" "4" "5" "5" "5"
## [18181] "5" "4" "5" "1" "5" "5" "4" "4" "5" "1" "5" "5" "1" "5" "5" "4" "5" "5"
## [18199] "5" "5" "5" "5" "4" "5" "4" "4" "4" "1" "4" "4" "5" "4" "4" "5" "5" "5"
## [18217] "1" "5" "4" "5" "5" "4" "4" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5"
## [18235] "5" "4" "4" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "4" "1" "5" "1" "4"
## [18253] "4" "5" "5" "1" "5" "5" "1" "4" "1" "1" "4" "4" "5" "5" "5" "5" "4" "5"
## [18271] "4" "5" "5" "1" "4" "1" "5" "1" "4" "5" "5" "5" "5" "4" "4" "5" "5" "1"
## [18289] "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "1" "5" "4" "4" "5" "1"
## [18307] "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "1" "1" "5" "5" "1" "1" "1"
## [18325] "5" "4" "1" "5" "1" "5" "5" "1" "5" "4" "5" "4" "1" "4" "1" "5" "5" "5"
## [18343] "1" "5" "5" "4" "4" "1" "5" "5" "5" "1" "5" "5" "4" "4" "1" "5" "4" "5"
## [18361] "4" "1" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5" "4" "4" "5" "5" "4"
## [18379] "1" "4" "4" "4" "5" "1" "5" "4" "5" "5" "1" "5" "5" "4" "5" "5" "4" "5"
## [18397] "5" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "5" "1" "4" "5" "4" "5" "4"
## [18415] "5" "5" "5" "1" "5" "5" "4" "5" "5" "1" "1" "5" "5" "4" "5" "5" "5" "5"
## [18433] "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "1" "4" "5" "5" "5" "5"
## [18451] "5" "4" "1" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [18469] "5" "1" "5" "1" "5" "5" "5" "1" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5"
## [18487] "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "4" "5" "1" "5" "5" "5"
## [18505] "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "4" "1" "4" "4" "4" "4" "5" "5"
## [18523] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "4" "5"
## [18541] "5" "4" "1" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "1" "5" "5" "4"
## [18559] "5" "4" "5" "1" "5" "1" "5" "4" "5" "5" "5" "5" "1" "5" "5" "4" "5" "4"
## [18577] "1" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "4" "1" "5"
## [18595] "5" "1" "4" "5" "5" "5" "1" "1" "4" "1" "5" "4" "5" "5" "4" "5" "5" "5"
## [18613] "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1"
## [18631] "5" "1" "4" "5" "5" "1" "1" "5" "5" "5" "1" "4" "1" "5" "5" "1" "5" "5"
## [18649] "5" "1" "1" "5" "4" "4" "5" "4" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5"
## [18667] "5" "5" "1" "5" "4" "1" "1" "4" "4" "1" "5" "1" "5" "1" "5" "4" "5" "1"
## [18685] "4" "5" "5" "4" "1" "4" "4" "4" "5" "4" "4" "5" "4" "5" "4" "1" "4" "5"
## [18703] "5" "5" "1" "5" "4" "4" "1" "5" "4" "5" "4" "1" "1" "5" "5" "5" "1" "5"
## [18721] "1" "5" "5" "5" "4" "1" "1" "5" "5" "5" "4" "1" "1" "1" "5" "5" "5" "5"
## [18739] "1" "4" "5" "4" "4" "5" "5" "4" "4" "4" "1" "5" "5" "4" "5" "4" "1" "4"
## [18757] "4" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "4" "4"
## [18775] "5" "5" "5" "4" "4" "1" "5" "4" "5" "5" "4" "5" "5" "5" "1" "4" "5" "4"
## [18793] "4" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "1" "4" "5" "5"
## [18811] "5" "1" "5" "4" "5" "5" "1" "5" "5" "5" "4" "4" "4" "5" "4" "5" "5" "4"
## [18829] "5" "1" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4"
## [18847] "5" "5" "4" "4" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [18865] "5" "4" "1" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "1" "1" "5" "1" "5"
## [18883] "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "4" "5" "4" "4"
## [18901] "5" "4" "5" "4" "5" "1" "1" "1" "5" "5" "1" "5" "4" "4" "5" "5" "1" "4"
## [18919] "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "4" "4" "5" "5" "5" "5" "5"
## [18937] "4" "1" "5" "5" "5" "5" "1" "5" "5" "1" "1" "1" "5" "5" "4" "5" "5" "5"
## [18955] "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "4" "5" "1" "1" "4" "1"
## [18973] "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "4"
## [18991] "5" "5" "1" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "4" "5" "5"
## [19009] "5" "5" "5" "1" "1" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5" "4" "1" "1"
## [19027] "5" "1" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5"
## [19045] "4" "5" "1" "5" "4" "1" "5" "5" "5" "1" "5" "4" "5" "5" "4" "5" "4" "5"
## [19063] "4" "5" "5" "4" "5" "1" "5" "1" "5" "1" "1" "1" "5" "1" "1" "5" "5" "4"
## [19081] "4" "5" "5" "1" "5" "5" "4" "4" "5" "4" "5" "5" "1" "5" "5" "5" "1" "4"
## [19099] "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5" "4" "1" "4" "1" "5"
## [19117] "4" "5" "5" "4" "4" "5" "5" "5" "4" "1" "5" "5" "4" "5" "5" "5" "4" "4"
## [19135] "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5"
## [19153] "4" "1" "5" "5" "5" "1" "4" "5" "4" "1" "5" "1" "4" "5" "5" "5" "1" "5"
## [19171] "5" "4" "5" "4" "1" "4" "4" "5" "4" "1" "5" "5" "1" "5" "1" "5" "4" "5"
## [19189] "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "4" "4" "4" "1" "5" "5" "5"
## [19207] "5" "4" "4" "1" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "4" "5" "5"
## [19225] "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "4" "5" "4" "5"
## [19243] "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "4" "1" "5" "5"
## [19261] "5" "5" "5" "5" "5" "4" "4" "4" "1" "4" "4" "4" "1" "4" "4" "5" "5" "4"
## [19279] "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "4" "5" "5" "1" "5" "4" "5"
## [19297] "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "4"
## [19315] "5" "4" "5" "5" "5" "4" "5" "5" "5" "4" "4" "4" "5" "1" "4" "5" "5" "4"
## [19333] "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "4" "4" "4" "4" "5" "1" "1" "5"
## [19351] "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "4" "5" "1" "5" "5"
## [19369] "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "4" "5" "1" "4" "5" "1" "5"
## [19387] "5" "4" "5" "5" "5" "5" "1" "1" "1" "4" "5" "4" "5" "5" "5" "5" "5" "4"
## [19405] "4" "5" "5" "5" "5" "5" "4" "1" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5"
## [19423] "1" "5" "5" "4" "5" "4" "5" "1" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5"
## [19441] "4" "5" "5" "4" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [19459] "5" "5" "5" "4" "5" "5" "4" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5"
## [19477] "4" "1" "1" "5" "5" "4" "5" "5" "5" "4" "4" "5" "4" "1" "5" "5" "5" "5"
## [19495] "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "4" "5" "5" "4" "4" "5" "5" "5"
## [19513] "5" "5" "4" "4" "4" "5" "5" "5" "4" "1" "4" "5" "1" "5" "5" "5" "5" "5"
## [19531] "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5"
## [19549] "5" "4" "4" "1" "5" "5" "1" "1" "4" "5" "4" "1" "4" "4" "5" "5" "4" "4"
## [19567] "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "1" "1" "5" "4" "5" "5" "5"
## [19585] "1" "5" "5" "5" "5" "1" "5" "5" "1" "5" "4" "5" "5" "5" "1" "5" "5" "1"
## [19603] "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "1"
## [19621] "4" "5" "5" "1" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5"
## [19639] "1" "4" "1" "5" "1" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5"
## [19657] "4" "5" "5" "5" "5" "4" "1" "1" "5" "5" "5" "5" "1" "5" "1" "5" "1" "4"
## [19675] "5" "5" "1" "5" "4" "4" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [19693] "5" "5" "4" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [19711] "4" "5" "5" "1" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [19729] "4" "1" "5" "5" "5" "1" "5" "4" "4" "5" "4" "4" "1" "4" "5" "1" "5" "5"
## [19747] "5" "5" "4" "1" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "1"
## [19765] "5" "5" "5" "4" "4" "5" "5" "5" "1" "4" "5" "4" "5" "5" "5" "5" "1" "5"
## [19783] "5" "4" "4" "4" "5" "5" "5" "5" "4" "4" "5" "4" "4" "5" "5" "5" "1" "1"
## [19801] "5" "1" "4" "5" "4" "5" "5" "4" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5"
## [19819] "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "4" "4" "5" "5" "5"
## [19837] "5" "5" "1" "4" "5" "5" "5" "5" "1" "5" "1" "1" "5" "4" "5" "5" "5" "5"
## [19855] "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4"
## [19873] "5" "5" "1" "5" "1" "4" "1" "5" "1" "5" "1" "4" "4" "5" "5" "4" "5" "5"
## [19891] "1" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4"
## [19909] "4" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "1" "1" "5" "5" "4" "5" "4"
## [19927] "1" "4" "4" "5" "5" "5" "5" "4" "4" "5" "1" "4" "5" "4" "5" "5" "5" "5"
## [19945] "5" "1" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "1"
## [19963] "5" "5" "5" "5" "1" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "4" "5" "1"
## [19981] "5" "1" "5" "1" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5"
## [19999] "1" "5" "5" "5" "4" "5" "5" "5" "1" "4" "4" "4" "5" "1" "5" "4" "5" "4"
## [20017] "1" "5" "1" "5" "1" "5" "5" "1" "4" "1" "5" "5" "1" "5" "5" "5" "5" "5"
## [20035] "1" "5" "5" "5" "5" "1" "4" "1" "5" "1" "4" "5" "5" "1" "1" "5" "1" "4"
## [20053] "5" "5" "1" "4" "4" "1" "5" "5" "4" "4" "5" "5" "1" "1" "5" "5" "5" "4"
## [20071] "4" "4" "5" "5" "5" "1" "5" "5" "5" "4" "5" "1" "5" "5" "5" "1" "1" "5"
## [20089] "1" "1" "5" "5" "5" "4" "1" "5" "5" "4" "4" "1" "4" "5" "1" "5" "4" "4"
## [20107] "5" "1" "5" "5" "4" "1" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "1"
## [20125] "5" "5" "4" "4" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "4" "5" "4"
## [20143] "5" "4" "5" "4" "5" "5" "1" "1" "5" "5" "5" "5" "4" "1" "4" "5" "5" "5"
## [20161] "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "5" "1" "4" "5" "5"
## [20179] "5" "1" "4" "5" "5" "1" "5" "5" "5" "4" "1" "5" "1" "4" "4" "4" "5" "1"
## [20197] "5" "4" "1" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5"
## [20215] "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5" "4" "4" "5" "5" "5"
## [20233] "5" "5" "5" "1" "5" "4" "5" "5" "1" "5" "4" "1" "4" "5" "5" "5" "5" "4"
## [20251] "1" "4" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5" "4" "1" "5" "5" "5" "4"
## [20269] "5" "4" "5" "4" "4" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4"
## [20287] "5" "4" "1" "4" "1" "4" "5" "1" "1" "4" "1" "5" "4" "4" "1" "1" "4" "5"
## [20305] "5" "4" "5" "1" "1" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [20323] "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [20341] "4" "1" "5" "1" "4" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "4" "1" "5"
## [20359] "5" "1" "4" "5" "5" "1" "4" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5"
## [20377] "5" "5" "5" "5" "1" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5"
## [20395] "4" "5" "5" "4" "5" "5" "5" "5" "5" "4" "1" "4" "5" "5" "5" "4" "4" "4"
## [20413] "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "1" "5"
## [20431] "5" "5" "4" "4" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [20449] "4" "4" "5" "4" "4" "5" "4" "4" "4" "5" "1" "4" "5" "5" "5" "5" "1" "5"
## [20467] "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "1" "4" "4" "1" "5" "5" "5"
## [20485] "1" "5" "4" "4" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1"
## [20503] "1" "5" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "5"
## [20521] "4" "5" "5" "4" "4" "4" "4" "4" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5"
## [20539] "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "4" "5" "4" "1" "5" "4" "5" "5"
## [20557] "5" "5" "4" "5" "1" "5" "1" "5" "4" "5" "1" "4" "5" "4" "5" "5" "4" "5"
## [20575] "5" "4" "5" "1" "5" "1" "5" "4" "5" "4" "4" "5" "5" "5" "4" "4" "5" "5"
## [20593] "5" "1" "4" "1" "5" "5" "5" "1" "5" "5" "5" "1" "1" "5" "1" "5" "1" "4"
## [20611] "5" "5" "4" "1" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "1"
## [20629] "4" "5" "5" "5" "5" "5" "1" "4" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5"
## [20647] "5" "5" "5" "5" "4" "1" "5" "4" "4" "4" "1" "5" "5" "5" "1" "5" "5" "5"
## [20665] "5" "1" "5" "1" "1" "5" "1" "4" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [20683] "5" "4" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5"
## [20701] "5" "5" "4" "1" "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "1" "5" "1"
## [20719] "4" "5" "5" "1" "1" "5" "5" "5" "1" "4" "4" "5" "5" "1" "1" "5" "1" "4"
## [20737] "1" "5" "5" "1" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "1"
## [20755] "5" "5" "4" "5" "5" "1" "4" "5" "5" "5" "1" "5" "5" "1" "4" "5" "5" "4"
## [20773] "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "4" "1" "5" "1" "5"
## [20791] "5" "5" "4" "5" "4" "5" "5" "4" "4" "5" "5" "5" "4" "1" "1" "1" "5" "4"
## [20809] "4" "4" "5" "5" "5" "5" "5" "5" "4" "4" "4" "5" "5" "5" "5" "4" "4" "5"
## [20827] "5" "1" "4" "1" "5" "1" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [20845] "5" "5" "5" "4" "5" "5" "4" "4" "5" "5" "4" "5" "1" "5" "1" "1" "5" "4"
## [20863] "5" "1" "5" "5" "5" "1" "5" "1" "4" "1" "4" "5" "1" "5" "5" "5" "5" "5"
## [20881] "5" "4" "4" "1" "5" "5" "5" "1" "5" "5" "1" "1" "1" "5" "4" "5" "5" "4"
## [20899] "5" "5" "5" "1" "5" "5" "1" "5" "5" "4" "5" "1" "5" "4" "5" "5" "5" "5"
## [20917] "1" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [20935] "1" "5" "5" "5" "4" "5" "5" "4" "1" "4" "1" "5" "1" "1" "4" "1" "5" "5"
## [20953] "5" "5" "5" "5" "1" "5" "1" "5" "4" "5" "5" "4" "4" "5" "4" "5" "1" "4"
## [20971] "5" "5" "5" "4" "5" "1" "5" "5" "4" "1" "5" "4" "5" "5" "5" "5" "5" "5"
## [20989] "4" "4" "5" "1" "1" "4" "5" "5" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5"
## [21007] "5" "5" "5" "1" "5" "1" "5" "4" "4" "1" "5" "5" "1" "1" "5" "5" "5" "5"
## [21025] "5" "5" "4" "5" "5" "4" "4" "1" "5" "5" "1" "5" "4" "1" "5" "5" "5" "5"
## [21043] "5" "5" "5" "5" "5" "4" "5" "4" "5" "4" "5" "4" "5" "1" "1" "4" "4" "5"
## [21061] "1" "5" "1" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "1"
## [21079] "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "4" "1" "5" "5" "5" "5" "4"
## [21097] "4" "4" "5" "5" "1" "1" "4" "5" "5" "4" "4" "5" "5" "5" "5" "1" "4" "4"
## [21115] "5" "5" "5" "1" "5" "1" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "4"
## [21133] "4" "5" "4" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [21151] "1" "5" "1" "1" "1" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [21169] "1" "4" "4" "4" "4" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "4" "5" "1"
## [21187] "5" "5" "1" "5" "5" "5" "1" "1" "5" "5" "4" "5" "5" "1" "5" "4" "5" "1"
## [21205] "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [21223] "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5"
## [21241] "5" "5" "4" "1" "5" "5" "4" "5" "4" "5" "4" "1" "1" "1" "5" "4" "4" "5"
## [21259] "1" "1" "5" "1" "1" "4" "4" "5" "4" "1" "5" "5" "5" "4" "5" "4" "5" "5"
## [21277] "4" "5" "1" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "1" "5" "5" "5" "5"
## [21295] "1" "5" "1" "1" "1" "5" "1" "4" "1" "4" "4" "4" "5" "5" "5" "5" "5" "4"
## [21313] "5" "1" "1" "5" "5" "4" "5" "4" "4" "1" "1" "5" "5" "5" "5" "5" "1" "5"
## [21331] "4" "5" "5" "1" "5" "5" "4" "5" "5" "4" "4" "1" "5" "4" "4" "5" "4" "1"
## [21349] "5" "5" "4" "5" "4" "4" "1" "5" "5" "4" "1" "5" "5" "1" "5" "1" "5" "1"
## [21367] "5" "1" "5" "1" "5" "4" "4" "5" "4" "4" "1" "1" "5" "5" "5" "5" "5" "4"
## [21385] "1" "5" "4" "5" "1" "4" "4" "5" "1" "4" "5" "1" "1" "1" "1" "1" "5" "5"
## [21403] "4" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5" "5" "5" "1" "4" "4" "5" "5"
## [21421] "1" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "4" "1" "5" "5"
## [21439] "5" "1" "5" "4" "5" "4" "5" "5" "5" "4" "4" "5" "4" "5" "5" "1" "5" "1"
## [21457] "1" "4" "1" "4" "5" "1" "5" "4" "5" "4" "5" "5" "5" "5" "5" "4" "4" "5"
## [21475] "5" "5" "5" "5" "1" "4" "4" "5" "4" "5" "5" "5" "1" "4" "5" "5" "1" "1"
## [21493] "5" "1" "5" "5" "5" "4" "5" "1" "5" "5" "1" "5" "5" "5" "4" "1" "4" "5"
## [21511] "5" "5" "4" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "1" "4" "5" "1" "5"
## [21529] "1" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "1" "4" "5" "4" "4" "5"
## [21547] "4" "1" "5" "5" "4" "5" "5" "4" "5" "1" "4" "4" "4" "4" "5" "4" "5" "5"
## [21565] "5" "4" "5" "1" "5" "1" "5" "5" "5" "4" "4" "5" "5" "1" "4" "5" "5" "5"
## [21583] "1" "5" "4" "5" "5" "5" "4" "5" "1" "4" "4" "5" "4" "5" "1" "4" "5" "5"
## [21601] "1" "5" "1" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5"
## [21619] "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "1" "4" "5" "4" "5"
## [21637] "4" "5" "5" "4" "1" "4" "5" "5" "4" "1" "5" "5" "5" "1" "5" "4" "1" "5"
## [21655] "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "5" "1"
## [21673] "4" "5" "5" "5" "5" "4" "4" "1" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5"
## [21691] "1" "5" "5" "4" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "4" "5" "4" "5"
## [21709] "5" "5" "5" "1" "4" "5" "5" "1" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5"
## [21727] "5" "5" "1" "5" "5" "5" "4" "5" "1" "1" "5" "1" "5" "4" "4" "5" "1" "5"
## [21745] "5" "5" "5" "4" "5" "1" "5" "4" "5" "5" "1" "5" "5" "1" "4" "5" "5" "5"
## [21763] "5" "1" "1" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "1"
## [21781] "5" "1" "1" "1" "1" "1" "1" "5" "5" "1" "4" "5" "5" "1" "4" "4" "5" "5"
## [21799] "4" "4" "5" "1" "5" "1" "5" "4" "5" "5" "1" "5" "4" "5" "4" "5" "5" "5"
## [21817] "5" "4" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5"
## [21835] "4" "5" "1" "1" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5"
## [21853] "4" "1" "5" "5" "4" "5" "1" "5" "5" "5" "5" "4" "5" "5" "4" "4" "4" "4"
## [21871] "5" "4" "1" "1" "5" "1" "1" "4" "5" "5" "4" "4" "5" "4" "5" "5" "5" "5"
## [21889] "4" "1" "1" "5" "5" "5" "1" "5" "5" "1" "4" "5" "4" "4" "5" "5" "5" "1"
## [21907] "5" "4" "4" "4" "5" "5" "4" "1" "5" "5" "1" "4" "4" "5" "4" "4" "5" "4"
## [21925] "5" "5" "5" "1" "5" "4" "4" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5"
## [21943] "5" "5" "5" "4" "5" "5" "1" "1" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5"
## [21961] "5" "5" "5" "1" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [21979] "5" "5" "4" "1" "4" "4" "5" "4" "5" "4" "5" "4" "5" "1" "4" "4" "1" "5"
## [21997] "5" "1" "1" "4" "5" "1" "1" "5" "4" "4" "4" "4" "1" "1" "1" "4" "5" "1"
## [22015] "4" "5" "1" "5" "5" "5" "1" "1" "5" "5" "4" "5" "1" "5" "4" "4" "1" "4"
## [22033] "4" "4" "4" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "4" "4" "4" "5" "5"
## [22051] "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4"
## [22069] "1" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "4" "5" "4" "4" "4" "4"
## [22087] "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "1" "5" "4"
## [22105] "4" "1" "5" "5" "5" "5" "4" "4" "5" "1" "5" "1" "5" "4" "5" "5" "5" "5"
## [22123] "4" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "4" "4" "1" "5" "5" "5" "5"
## [22141] "5" "5" "4" "4" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5"
## [22159] "5" "1" "5" "5" "4" "5" "4" "1" "5" "5" "4" "5" "5" "4" "5" "4" "4" "4"
## [22177] "5" "1" "4" "5" "4" "5" "5" "5" "4" "5" "4" "4" "5" "5" "5" "5" "1" "4"
## [22195] "5" "5" "5" "4" "4" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "1" "4" "5"
## [22213] "1" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5"
## [22231] "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "5" "5" "4"
## [22249] "1" "5" "4" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "4" "4" "4" "1" "5"
## [22267] "4" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "4" "4"
## [22285] "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "4" "1" "5" "4" "5" "5" "1" "1"
## [22303] "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "1" "5" "4" "5" "5" "5" "4" "5"
## [22321] "5" "5" "5" "5" "4" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [22339] "4" "4" "5" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "4" "5"
## [22357] "5" "4" "4" "4" "1" "1" "5" "4" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [22375] "5" "4" "4" "5" "5" "4" "5" "5" "5" "1" "4" "1" "5" "4" "5" "5" "5" "1"
## [22393] "5" "1" "1" "1" "1" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "1"
## [22411] "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "4" "5" "5" "5" "5"
## [22429] "1" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5" "5"
## [22447] "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5" "1" "5" "1" "5" "5" "4"
## [22465] "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "4" "5"
## [22483] "4" "1" "1" "5" "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [22501] "5" "5" "5" "5" "4" "5" "5" "1" "4" "1" "4" "5" "4" "5" "5" "5" "5" "1"
## [22519] "5" "4" "1" "5" "1" "5" "5" "1" "5" "4" "5" "5" "1" "5" "5" "5" "5" "4"
## [22537] "5" "5" "5" "5" "4" "1" "4" "5" "5" "4" "1" "5" "1" "4" "4" "5" "1" "1"
## [22555] "1" "5" "5" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "1" "1" "1" "5" "5"
## [22573] "4" "5" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "4" "5" "4" "5"
## [22591] "5" "5" "5" "4" "5" "5" "4" "5" "4" "5" "4" "5" "4" "4" "5" "4" "5" "5"
## [22609] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5"
## [22627] "5" "5" "5" "4" "5" "4" "5" "5" "5" "4" "1" "4" "1" "1" "1" "5" "4" "4"
## [22645] "1" "4" "4" "5" "4" "5" "5" "5" "4" "5" "5" "4" "4" "5" "1" "5" "5" "4"
## [22663] "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "1" "4" "1" "5" "1"
## [22681] "4" "5" "5" "5" "4" "5" "4" "1" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5"
## [22699] "5" "4" "5" "4" "5" "1" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1"
## [22717] "5" "1" "4" "5" "5" "5" "5" "1" "5" "4" "4" "5" "5" "5" "5" "5" "4" "5"
## [22735] "1" "5" "5" "4" "4" "5" "5" "5" "5" "1" "5" "5" "4" "1" "5" "5" "5" "1"
## [22753] "1" "5" "5" "5" "4" "1" "5" "4" "5" "5" "5" "4" "4" "4" "4" "5" "4" "5"
## [22771] "4" "4" "4" "1" "1" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "4"
## [22789] "5" "5" "4" "5" "1" "5" "4" "1" "5" "5" "5" "5" "4" "5" "1" "5" "1" "4"
## [22807] "4" "4" "5" "4" "5" "1" "5" "5" "4" "1" "5" "4" "5" "1" "5" "5" "4" "5"
## [22825] "5" "5" "1" "5" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "1" "5" "5" "1"
## [22843] "5" "5" "1" "4" "5" "5" "5" "1" "5" "5" "5" "1" "1" "4" "5" "5" "1" "4"
## [22861] "1" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "1" "4" "5" "5" "5"
## [22879] "5" "4" "5" "1" "5" "1" "5" "5" "5" "5" "5" "4" "5" "4" "5" "4" "5" "1"
## [22897] "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1"
## [22915] "5" "5" "4" "5" "5" "1" "5" "5" "5" "1" "5" "5" "1" "5" "5" "4" "4" "5"
## [22933] "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4" "5"
## [22951] "4" "4" "5" "1" "1" "4" "5" "4" "4" "5" "1" "4" "5" "1" "1" "5" "4" "5"
## [22969] "5" "1" "5" "5" "5" "5" "5" "1" "5" "4" "1" "4" "5" "5" "5" "5" "5" "5"
## [22987] "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "4"
## [23005] "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5" "1" "1" "1" "5"
## [23023] "4" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "1" "1" "5" "1" "5" "5"
## [23041] "5" "4" "1" "5" "5" "5" "4" "4" "5" "5" "5" "4" "4" "5" "1" "1" "4" "4"
## [23059] "5" "1" "5" "4" "5" "4" "5" "1" "5" "4" "4" "5" "5" "4" "5" "5" "5" "5"
## [23077] "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "4" "4" "5" "5" "5" "4" "5" "5"
## [23095] "1" "5" "5" "5" "4" "4" "5" "5" "5" "4" "4" "5" "5" "4" "5" "1" "5" "5"
## [23113] "5" "5" "5" "4" "4" "5" "5" "5" "1" "5" "5" "1" "5" "5" "1" "5" "5" "5"
## [23131] "5" "4" "5" "5" "5" "5" "4" "4" "4" "5" "5" "4" "5" "5" "5" "1" "5" "4"
## [23149] "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5"
## [23167] "1" "5" "4" "5" "4" "5" "1" "1" "4" "1" "5" "5" "5" "4" "5" "1" "4" "5"
## [23185] "5" "5" "4" "1" "4" "4" "5" "4" "5" "5" "1" "5" "5" "5" "4" "5" "4" "5"
## [23203] "5" "5" "1" "5" "5" "5" "1" "5" "1" "5" "5" "4" "5" "5" "1" "5" "4" "4"
## [23221] "5" "5" "5" "5" "5" "5" "4" "4" "4" "4" "4" "1" "5" "5" "5" "1" "5" "5"
## [23239] "5" "4" "5" "1" "5" "4" "1" "5" "4" "1" "5" "5" "5" "5" "5" "5" "1" "5"
## [23257] "5" "1" "4" "1" "5" "5" "5" "5" "4" "5" "4" "5" "5" "1" "5" "5" "5" "5"
## [23275] "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "4" "5" "5" "1"
## [23293] "5" "5" "4" "4" "4" "5" "5" "1" "5" "5" "4" "4" "4" "1" "1" "5" "5" "5"
## [23311] "5" "4" "5" "5" "1" "4" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [23329] "5" "5" "5" "4" "1" "5" "4" "1" "1" "5" "4" "5" "4" "4" "1" "5" "4" "5"
## [23347] "4" "5" "5" "5" "4" "1" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5"
## [23365] "4" "1" "4" "5" "5" "1" "5" "4" "5" "1" "5" "5" "4" "4" "5" "4" "5" "1"
## [23383] "5" "5" "4" "1" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4"
## [23401] "1" "5" "4" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [23419] "5" "1" "5" "4" "4" "1" "1" "5" "5" "5" "5" "5" "5" "1" "4" "5" "1" "1"
## [23437] "5" "1" "4" "4" "5" "5" "5" "5" "1" "5" "5" "5" "1" "1" "5" "5" "5" "5"
## [23455] "1" "5" "1" "4" "5" "4" "4" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1"
## [23473] "1" "5" "5" "5" "4" "4" "1" "5" "5" "5" "1" "4" "4" "5" "5" "5" "4" "5"
## [23491] "5" "4" "4" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "4" "5" "1" "1" "5"
## [23509] "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "1" "5" "1" "5" "5"
## [23527] "5" "1" "5" "5" "4" "1" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [23545] "4" "4" "5" "5" "1" "5" "5" "5" "5" "4" "4" "4" "5" "4" "4" "1" "5" "1"
## [23563] "5" "5" "4" "4" "5" "1" "4" "1" "5" "5" "4" "5" "4" "1" "5" "4" "5" "1"
## [23581] "5" "4" "5" "4" "4" "5" "5" "5" "1" "5" "5" "4" "4" "5" "4" "5" "5" "5"
## [23599] "5" "1" "5" "5" "5" "5" "5" "5" "4" "4" "1" "5" "5" "5" "5" "5" "5" "4"
## [23617] "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [23635] "5" "5" "4" "5" "5" "5" "1" "1" "5" "5" "1" "1" "5" "5" "5" "4" "4" "5"
## [23653] "4" "5" "4" "5" "5" "1" "5" "5" "5" "5" "1" "1" "5" "4" "5" "5" "5" "4"
## [23671] "5" "1" "5" "5" "1" "5" "5" "1" "1" "5" "5" "5" "4" "5" "4" "5" "5" "5"
## [23689] "5" "5" "5" "5" "4" "5" "4" "1" "1" "5" "5" "5" "1" "5" "5" "1" "5" "4"
## [23707] "1" "5" "4" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "4" "1" "1" "5"
## [23725] "5" "4" "1" "4" "5" "4" "4" "5" "4" "5" "5" "5" "4" "5" "4" "5" "5" "5"
## [23743] "5" "4" "5" "5" "5" "5" "1" "5" "4" "4" "5" "1" "4" "5" "5" "1" "5" "1"
## [23761] "5" "5" "5" "5" "1" "5" "5" "5" "5" "1" "4" "5" "5" "5" "1" "5" "5" "1"
## [23779] "5" "1" "4" "5" "4" "1" "1" "5" "5" "1" "1" "5" "4" "1" "5" "5" "5" "5"
## [23797] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4"
## [23815] "1" "4" "5" "1" "5" "5" "1" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5"
## [23833] "5" "1" "5" "5" "5" "4" "4" "5" "5" "4" "1" "4" "5" "4" "5" "5" "4" "1"
## [23851] "5" "5" "5" "5" "5" "5" "4" "1" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5"
## [23869] "5" "5" "1" "5" "4" "5" "5" "5" "1" "5" "5" "4" "4" "5" "5" "4" "5" "1"
## [23887] "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "4" "1" "5" "5" "5" "1" "5"
## [23905] "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5"
## [23923] "4" "5" "1" "5" "5" "1" "1" "1" "5" "4" "5" "5" "5" "5" "5" "1" "1" "5"
## [23941] "5" "4" "1" "5" "1" "5" "5" "5" "1" "5" "5" "4" "4" "5" "5" "5" "5" "5"
## [23959] "4" "5" "5" "4" "1" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "5" "4" "5"
## [23977] "5" "1" "5" "5" "5" "1" "1" "5" "5" "1" "4" "4" "5" "5" "1" "4" "5" "4"
## [23995] "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "4" "4" "1" "1" "5" "5" "5"
## [24013] "5" "5" "5" "5" "4" "4" "4" "5" "1" "4" "4" "5" "5" "1" "4" "4" "4" "5"
## [24031] "1" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "4" "5" "4" "4" "4"
## [24049] "5" "5" "5" "4" "4" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5"
## [24067] "4" "5" "4" "5" "4" "5" "4" "5" "1" "1" "5" "1" "5" "4" "4" "4" "5" "5"
## [24085] "1" "1" "4" "4" "4" "5" "5" "4" "5" "5" "5" "4" "1" "1" "4" "5" "5" "5"
## [24103] "5" "5" "1" "1" "4" "4" "5" "5" "5" "4" "5" "1" "5" "4" "1" "5" "5" "5"
## [24121] "5" "1" "4" "4" "5" "5" "4" "1" "5" "5" "4" "4" "4" "5" "5" "4" "5" "4"
## [24139] "4" "1" "4" "4" "5" "4" "4" "5" "5" "1" "5" "4" "4" "5" "5" "4" "1" "5"
## [24157] "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "4" "4" "5" "5" "5"
## [24175] "5" "5" "4" "5" "1" "4" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "5" "1"
## [24193] "5" "1" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "4"
## [24211] "5" "5" "4" "4" "5" "5" "5" "1" "4" "5" "5" "5" "4" "4" "5" "5" "1" "5"
## [24229] "5" "4" "5" "5" "4" "4" "5" "5" "1" "5" "5" "4" "4" "5" "4" "5" "4" "1"
## [24247] "1" "5" "5" "4" "5" "1" "5" "5" "5" "5" "4" "5" "5" "4" "4" "5" "4" "5"
## [24265] "5" "4" "5" "4" "5" "5" "1" "4" "1" "5" "5" "5" "5" "4" "4" "1" "5" "5"
## [24283] "5" "4" "1" "5" "4" "5" "5" "5" "4" "4" "5" "1" "4" "4" "4" "1" "5" "5"
## [24301] "4" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "4" "4" "1" "4"
## [24319] "5" "5" "4" "5" "5" "4" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "1"
## [24337] "1" "4" "4" "5" "5" "5" "4" "5" "5" "5" "4" "5" "4" "4" "1" "5" "5" "5"
## [24355] "5" "5" "5" "5" "4" "1" "4" "4" "5" "5" "5" "4" "1" "1" "5" "4" "5" "4"
## [24373] "4" "1" "5" "5" "4" "1" "4" "1" "1" "5" "5" "4" "5" "4" "5" "5" "1" "5"
## [24391] "5" "4" "5" "5" "5" "5" "1" "5" "4" "5" "4" "4" "4" "5" "5" "1" "4" "4"
## [24409] "5" "5" "5" "1" "5" "1" "5" "1" "5" "5" "5" "5" "4" "5" "5" "1" "1" "1"
## [24427] "5" "5" "4" "1" "4" "5" "1" "5" "4" "1" "1" "5" "5" "4" "5" "4" "1" "5"
## [24445] "4" "5" "5" "5" "4" "1" "5" "1" "5" "1" "5" "1" "5" "1" "5" "5" "5" "5"
## [24463] "1" "1" "4" "5" "5" "1" "5" "4" "4" "1" "1" "5" "4" "5" "5" "5" "5" "1"
## [24481] "4" "5" "5" "4" "1" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "1" "4"
## [24499] "5" "5" "5" "5" "5" "1" "1" "1" "5" "5" "1" "5" "5" "1" "5" "5" "5" "5"
## [24517] "5" "5" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "1"
## [24535] "5" "5" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4"
## [24553] "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "1" "5" "1" "4"
## [24571] "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "1" "5" "4" "4" "5" "5" "4"
## [24589] "5" "5" "5" "5" "1" "4" "4" "1" "4" "5" "5" "4" "5" "5" "5" "5" "4" "5"
## [24607] "1" "4" "5" "5" "4" "4" "4" "1" "5" "5" "5" "4" "4" "5" "4" "5" "5" "1"
## [24625] "4" "1" "4" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "1" "1" "5" "1" "5"
## [24643] "5" "4" "4" "4" "5" "5" "5" "4" "4" "5" "4" "5" "1" "5" "5" "5" "4" "1"
## [24661] "5" "1" "5" "5" "4" "4" "5" "1" "4" "4" "5" "5" "5" "5" "4" "4" "4" "5"
## [24679] "5" "5" "1" "4" "5" "1" "4" "5" "4" "1" "5" "5" "4" "4" "5" "5" "1" "5"
## [24697] "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "1" "5" "5" "1" "5" "4"
## [24715] "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "4" "1" "5" "5" "4" "4" "5"
## [24733] "5" "5" "5" "5" "1" "5" "1" "5" "4" "5" "5" "4" "4" "5" "5" "5" "4" "5"
## [24751] "4" "5" "5" "5" "1" "5" "5" "1" "5" "4" "5" "5" "5" "4" "1" "4" "1" "1"
## [24769] "4" "1" "4" "4" "4" "5" "1" "1" "5" "5" "4" "5" "4" "5" "4" "4" "5" "4"
## [24787] "5" "5" "1" "5" "1" "4" "5" "5" "1" "5" "5" "5" "4" "5" "5" "4" "5" "5"
## [24805] "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "4" "4" "5"
## [24823] "1" "5" "5" "4" "4" "5" "5" "5" "5" "4" "4" "4" "5" "1" "4" "4" "5" "5"
## [24841] "5" "4" "1" "5" "4" "5" "5" "5" "5" "1" "5" "5" "4" "1" "5" "5" "4" "1"
## [24859] "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "1" "4" "4"
## [24877] "5" "4" "5" "5" "4" "4" "5" "5" "1" "5" "1" "1" "4" "4" "5" "5" "4" "1"
## [24895] "4" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "4" "4" "4" "1" "5" "4" "4"
## [24913] "1" "4" "5" "5" "1" "1" "5" "5" "5" "5" "1" "1" "5" "4" "5" "5" "4" "1"
## [24931] "5" "5" "5" "5" "4" "1" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "4" "5"
## [24949] "5" "5" "1" "4" "5" "5" "1" "1" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5"
## [24967] "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "4" "4" "5" "5" "5" "4"
## [24985] "4" "4" "1" "4" "5" "1" "5" "5" "5" "5" "4" "4" "1" "5" "5" "5" "5" "5"
## [25003] "1" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "4" "5" "4" "5" "1" "5"
## [25021] "5" "5" "5" "1" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5" "5" "4" "5" "4"
## [25039] "5" "4" "5" "5" "5" "5" "1" "5" "1" "4" "4" "5" "4" "4" "5" "4" "4" "5"
## [25057] "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "4" "4"
## [25075] "1" "5" "5" "5" "5" "5" "5" "4" "1" "5" "5" "4" "1" "5" "5" "5" "5" "5"
## [25093] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5" "4"
## [25111] "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "4" "1" "4" "4"
## [25129] "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "1" "1" "4"
## [25147] "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "4" "5" "5" "5" "5" "5" "4"
## [25165] "4" "4" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [25183] "1" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5"
## [25201] "5" "1" "1" "5" "4" "5" "5" "1" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5"
## [25219] "4" "5" "5" "5" "5" "1" "5" "4" "4" "5" "4" "5" "5" "5" "1" "5" "5" "4"
## [25237] "4" "5" "5" "4" "5" "1" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [25255] "4" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "4"
## [25273] "4" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "1" "5" "5" "5" "5"
## [25291] "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "4" "4" "5" "1" "5" "1" "5" "5"
## [25309] "5" "5" "1" "1" "5" "5" "5" "1" "4" "4" "5" "5" "5" "4" "4" "5" "4" "5"
## [25327] "5" "5" "5" "1" "1" "5" "5" "5" "1" "5" "1" "5" "1" "5" "5" "5" "5" "5"
## [25345] "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "4" "4" "5" "1" "1" "4" "5" "5"
## [25363] "1" "5" "4" "5" "5" "5" "5" "1" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5"
## [25381] "5" "4" "5" "5" "5" "4" "5" "4" "5" "5" "4" "1" "1" "5" "4" "1" "5" "5"
## [25399] "4" "5" "5" "5" "5" "4" "5" "4" "1" "4" "5" "5" "4" "5" "4" "5" "5" "5"
## [25417] "5" "5" "5" "4" "5" "1" "4" "1" "1" "5" "5" "5" "4" "4" "5" "5" "4" "5"
## [25435] "4" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "1" "1" "5" "4"
## [25453] "1" "5" "5" "5" "4" "4" "4" "1" "4" "5" "5" "5" "5" "5" "1" "4" "5" "5"
## [25471] "4" "5" "4" "4" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "4"
## [25489] "1" "5" "4" "5" "5" "5" "5" "4" "4" "5" "5" "5" "4" "5" "5" "1" "5" "5"
## [25507] "5" "5" "5" "5" "1" "5" "1" "4" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5"
## [25525] "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "1" "1" "4" "5" "1" "5" "4"
## [25543] "1" "5" "5" "4" "4" "5" "5" "4" "5" "5" "4" "5" "5" "1" "5" "5" "5" "1"
## [25561] "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "1" "5" "1" "4" "5" "5" "5" "4"
## [25579] "1" "1" "4" "4" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5" "5" "5" "1"
## [25597] "4" "5" "5" "5" "5" "5" "1" "5" "5" "4" "1" "5" "5" "5" "5" "1" "5" "1"
## [25615] "5" "5" "1" "5" "4" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5" "5" "5"
## [25633] "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [25651] "4" "5" "5" "5" "4" "5" "5" "1" "5" "1" "4" "5" "5" "1" "5" "5" "5" "5"
## [25669] "5" "1" "5" "5" "1" "5" "1" "1" "1" "5" "5" "5" "5" "5" "4" "5" "1" "5"
## [25687] "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "1" "1" "1" "5" "5" "5" "5" "1"
## [25705] "5" "5" "5" "1" "5" "5" "4" "5" "5" "4" "4" "5" "1" "5" "5" "4" "5" "5"
## [25723] "1" "5" "5" "5" "4" "4" "5" "5" "1" "5" "1" "1" "4" "4" "5" "1" "4" "5"
## [25741] "1" "1" "4" "5" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "4" "5" "4" "1"
## [25759] "5" "5" "4" "5" "4" "1" "4" "1" "5" "5" "4" "5" "5" "1" "5" "5" "5" "1"
## [25777] "1" "5" "5" "5" "4" "4" "1" "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "5"
## [25795] "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "1" "5" "4" "5" "1" "5" "1"
## [25813] "5" "4" "1" "4" "4" "5" "4" "5" "5" "4" "4" "5" "5" "5" "1" "4" "4" "5"
## [25831] "1" "4" "5" "5" "5" "5" "1" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "4"
## [25849] "5" "5" "1" "5" "1" "4" "5" "5" "1" "5" "5" "5" "5" "5" "4" "4" "5" "4"
## [25867] "5" "4" "5" "1" "5" "4" "5" "5" "5" "5" "1" "4" "5" "4" "5" "5" "1" "5"
## [25885] "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "4" "4" "5" "5"
## [25903] "5" "1" "4" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1"
## [25921] "5" "5" "4" "5" "1" "5" "4" "5" "5" "5" "1" "4" "5" "5" "5" "5" "4" "5"
## [25939] "5" "5" "5" "5" "1" "1" "4" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5"
## [25957] "1" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "5" "4" "5" "1" "1" "4"
## [25975] "4" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1"
## [25993] "5" "4" "5" "4" "5" "4" "1" "5" "5" "5" "5" "1" "4" "5" "5" "4" "1" "4"
## [26011] "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "4" "1" "5" "1" "4" "4" "5" "4"
## [26029] "5" "5" "5" "5" "4" "4" "1" "5" "5" "5" "5" "5" "5" "4" "5" "4" "4" "1"
## [26047] "4" "1" "5" "1" "1" "4" "4" "4" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5"
## [26065] "5" "4" "5" "4" "5" "4" "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [26083] "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "1" "1" "4" "5" "5" "1"
## [26101] "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "4"
## [26119] "4" "5" "5" "5" "1" "5" "5" "1" "5" "5" "1" "5" "5" "1" "5" "1" "1" "1"
## [26137] "5" "1" "5" "5" "5" "4" "1" "1" "5" "4" "5" "5" "5" "5" "4" "4" "5" "5"
## [26155] "5" "5" "4" "5" "5" "5" "5" "5" "4" "4" "5" "1" "4" "4" "5" "5" "5" "1"
## [26173] "5" "5" "1" "5" "5" "4" "5" "5" "5" "1" "1" "5" "5" "4" "5" "5" "5" "5"
## [26191] "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "1"
## [26209] "4" "1" "5" "4" "5" "5" "4" "5" "4" "5" "5" "5" "5" "1" "4" "1" "1" "5"
## [26227] "5" "5" "5" "4" "5" "4" "5" "5" "1" "5" "4" "4" "1" "5" "4" "5" "5" "1"
## [26245] "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5"
## [26263] "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "1" "4" "1" "5" "1" "5" "5"
## [26281] "4" "5" "1" "5" "5" "5" "1" "1" "5" "5" "5" "5" "1" "5" "5" "5" "4" "5"
## [26299] "5" "1" "5" "1" "5" "5" "5" "1" "1" "5" "5" "1" "5" "1" "1" "5" "5" "1"
## [26317] "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "4" "5" "1" "5"
## [26335] "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "1" "5" "1" "4" "1" "4" "4" "5"
## [26353] "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5"
## [26371] "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5"
## [26389] "4" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "5"
## [26407] "4" "4" "5" "5" "4" "5" "4" "4" "1" "4" "5" "5" "4" "5" "5" "5" "5" "5"
## [26425] "4" "5" "5" "5" "4" "5" "5" "4" "5" "1" "4" "5" "4" "5" "1" "1" "5" "5"
## [26443] "4" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "1" "4" "1" "4" "4" "5"
## [26461] "5" "5" "5" "4" "4" "5" "5" "5" "4" "5" "4" "5" "4" "1" "4" "1" "4" "5"
## [26479] "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "1" "5"
## [26497] "4" "5" "5" "1" "4" "5" "1" "5" "1" "5" "5" "5" "5" "5" "1" "4" "5" "4"
## [26515] "5" "4" "1" "1" "5" "4" "5" "1" "5" "5" "5" "5" "1" "1" "5" "1" "1" "5"
## [26533] "1" "5" "4" "1" "4" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [26551] "5" "5" "5" "1" "4" "1" "5" "5" "1" "5" "5" "1" "5" "5" "4" "5" "4" "5"
## [26569] "5" "5" "1" "1" "5" "4" "5" "5" "1" "5" "5" "5" "4" "5" "5" "1" "1" "4"
## [26587] "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "1" "5" "4"
## [26605] "5" "5" "5" "5" "4" "4" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1"
## [26623] "5" "5" "5" "5" "5" "5" "1" "1" "5" "4" "5" "1" "5" "5" "1" "5" "5" "5"
## [26641] "5" "1" "4" "1" "4" "5" "1" "5" "5" "1" "1" "4" "4" "4" "5" "1" "5" "4"
## [26659] "4" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "4" "4" "5" "4" "5"
## [26677] "4" "4" "5" "4" "5" "5" "5" "5" "5" "4" "4" "5" "5" "1" "5" "1" "4" "4"
## [26695] "5" "4" "5" "5" "5" "4" "5" "5" "4" "4" "5" "5" "5" "1" "1" "5" "5" "4"
## [26713] "5" "5" "5" "4" "1" "4" "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [26731] "5" "4" "5" "5" "5" "5" "5" "1" "5" "4" "5" "4" "5" "5" "5" "5" "5" "4"
## [26749] "5" "1" "4" "5" "1" "1" "4" "5" "5" "5" "5" "5" "4" "5" "4" "4" "5" "5"
## [26767] "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5"
## [26785] "1" "5" "5" "5" "5" "4" "4" "4" "1" "5" "5" "4" "5" "5" "5" "4" "5" "1"
## [26803] "5" "5" "4" "5" "1" "1" "5" "5" "5" "4" "4" "5" "1" "5" "5" "5" "4" "5"
## [26821] "5" "5" "1" "4" "5" "5" "5" "4" "5" "1" "4" "5" "4" "4" "5" "4" "5" "5"
## [26839] "5" "4" "5" "5" "1" "4" "5" "4" "1" "4" "5" "5" "5" "4" "5" "1" "5" "5"
## [26857] "5" "4" "5" "4" "1" "5" "5" "4" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [26875] "4" "5" "5" "1" "5" "5" "5" "4" "5" "4" "4" "5" "5" "4" "5" "4" "1" "5"
## [26893] "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5"
## [26911] "5" "1" "5" "5" "5" "5" "5" "1" "1" "5" "5" "1" "5" "4" "4" "5" "1" "4"
## [26929] "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "4" "5" "4" "5" "4" "4" "5" "5"
## [26947] "5" "5" "1" "4" "4" "1" "5" "5" "4" "5" "5" "4" "5" "4" "4" "4" "5" "5"
## [26965] "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "1"
## [26983] "5" "5" "1" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [27001] "4" "5" "5" "1" "5" "5" "1" "5" "5" "5" "4" "5" "4" "5" "5" "4" "1" "5"
## [27019] "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5"
## [27037] "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "1" "5" "5" "5" "4"
## [27055] "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "4" "5" "4" "4" "1" "5"
## [27073] "5" "5" "5" "4" "5" "5" "4" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1"
## [27091] "1" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "1"
## [27109] "4" "4" "1" "5" "5" "5" "1" "1" "5" "5" "1" "5" "4" "5" "1" "1" "4" "5"
## [27127] "1" "4" "4" "5" "1" "5" "5" "5" "5" "1" "4" "5" "5" "5" "4" "5" "4" "5"
## [27145] "5" "5" "5" "5" "1" "4" "5" "1" "5" "4" "1" "5" "5" "5" "4" "5" "5" "1"
## [27163] "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "4" "4" "4" "5"
## [27181] "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "4" "5" "5" "1" "5" "4" "5"
## [27199] "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "4"
## [27217] "5" "5" "4" "4" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "4" "5" "4" "1"
## [27235] "5" "5" "4" "5" "4" "5" "1" "5" "5" "1" "1" "4" "5" "5" "5" "5" "1" "5"
## [27253] "5" "1" "4" "4" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5" "5" "5" "4"
## [27271] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "4" "5" "4" "4" "5" "5" "5"
## [27289] "5" "5" "1" "4" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "4" "5"
## [27307] "1" "5" "4" "5" "4" "5" "4" "5" "1" "1" "1" "1" "5" "5" "5" "5" "5" "5"
## [27325] "5" "1" "4" "5" "5" "4" "5" "5" "5" "1" "1" "5" "5" "1" "5" "4" "5" "1"
## [27343] "4" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "4" "1"
## [27361] "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "4" "5" "1"
## [27379] "1" "4" "4" "4" "5" "4" "5" "4" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5"
## [27397] "5" "5" "1" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5"
## [27415] "1" "5" "5" "5" "1" "4" "5" "4" "1" "1" "4" "5" "5" "1" "5" "5" "5" "1"
## [27433] "5" "1" "5" "5" "4" "1" "4" "5" "5" "5" "5" "5" "1" "5" "4" "4" "5" "4"
## [27451] "4" "1" "5" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5"
## [27469] "5" "5" "1" "5" "5" "4" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1"
## [27487] "5" "5" "1" "1" "5" "1" "5" "1" "5" "5" "5" "1" "4" "5" "5" "5" "4" "5"
## [27505] "5" "5" "4" "4" "5" "5" "4" "5" "5" "4" "4" "5" "1" "5" "5" "5" "5" "1"
## [27523] "1" "4" "5" "1" "5" "5" "4" "4" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5"
## [27541] "4" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "5" "1" "5" "4" "5" "5" "5"
## [27559] "1" "4" "4" "1" "5" "5" "4" "5" "4" "4" "4" "5" "5" "5" "4" "1" "1" "4"
## [27577] "1" "4" "5" "5" "4" "5" "4" "4" "1" "5" "4" "1" "1" "5" "4" "5" "5" "5"
## [27595] "4" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5"
## [27613] "4" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "1" "5" "5" "1" "5"
## [27631] "4" "5" "1" "5" "1" "5" "4" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [27649] "1" "4" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "4" "5" "4" "4" "5"
## [27667] "1" "5" "5" "1" "5" "4" "5" "5" "1" "1" "4" "5" "5" "5" "4" "1" "5" "5"
## [27685] "5" "1" "4" "1" "5" "1" "1" "4" "1" "1" "1" "4" "5" "5" "5" "1" "4" "4"
## [27703] "5" "5" "5" "1" "4" "5" "5" "4" "4" "5" "5" "5" "5" "5" "4" "5" "1" "1"
## [27721] "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5"
## [27739] "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "4" "5" "5"
## [27757] "5" "5" "4" "5" "5" "5" "4" "1" "5" "5" "1" "5" "1" "4" "4" "5" "1" "5"
## [27775] "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "1" "1"
## [27793] "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "1" "4" "5" "5" "4" "5"
## [27811] "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "4" "5"
## [27829] "4" "4" "5" "5" "4" "1" "1" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "1"
## [27847] "5" "4" "5" "4" "1" "1" "1" "1" "5" "1" "5" "5" "5" "4" "4" "4" "1" "5"
## [27865] "5" "5" "4" "5" "5" "1" "1" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5"
## [27883] "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5" "5" "5"
## [27901] "5" "5" "1" "5" "5" "5" "1" "5" "4" "1" "1" "5" "1" "1" "1" "5" "5" "5"
## [27919] "5" "5" "5" "5" "4" "5" "5" "4" "4" "4" "5" "1" "5" "5" "5" "4" "5" "4"
## [27937] "4" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "4" "4" "1" "5" "5" "4" "5"
## [27955] "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5"
## [27973] "5" "4" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5"
## [27991] "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "1" "5" "4" "1" "5" "5" "1"
## [28009] "5" "5" "4" "4" "1" "5" "1" "5" "5" "5" "1" "5" "5" "5" "1" "4" "5" "5"
## [28027] "1" "5" "5" "4" "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "5" "4" "5" "4"
## [28045] "1" "1" "5" "5" "5" "5" "5" "5" "1" "5" "4" "4" "5" "5" "5" "4" "5" "5"
## [28063] "5" "1" "5" "5" "5" "5" "5" "1" "5" "1" "5" "1" "1" "5" "1" "5" "5" "5"
## [28081] "5" "1" "4" "5" "4" "5" "5" "4" "4" "4" "5" "5" "4" "5" "1" "5" "4" "4"
## [28099] "5" "5" "5" "5" "4" "1" "1" "4" "5" "5" "4" "4" "5" "1" "5" "5" "5" "5"
## [28117] "5" "5" "4" "5" "5" "5" "1" "5" "4" "5" "5" "4" "4" "1" "4" "5" "5" "5"
## [28135] "5" "5" "4" "5" "1" "4" "5" "5" "4" "5" "4" "5" "5" "4" "1" "5" "5" "5"
## [28153] "4" "5" "4" "5" "5" "4" "4" "4" "5" "5" "5" "5" "1" "5" "5" "1" "4" "5"
## [28171] "5" "5" "4" "5" "5" "5" "5" "1" "1" "4" "1" "5" "5" "4" "5" "5" "4" "5"
## [28189] "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "1" "4" "1" "5" "1" "5" "5"
## [28207] "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "4" "4" "5" "5"
## [28225] "4" "4" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5"
## [28243] "5" "5" "1" "4" "4" "5" "5" "4" "4" "5" "4" "5" "5" "4" "5" "1" "5" "5"
## [28261] "4" "1" "1" "5" "5" "4" "5" "5" "5" "1" "4" "1" "5" "4" "5" "5" "5" "5"
## [28279] "5" "5" "5" "5" "5" "1" "4" "5" "5" "1" "5" "5" "4" "5" "5" "4" "5" "5"
## [28297] "4" "4" "4" "5" "1" "4" "5" "4" "4" "4" "5" "4" "1" "1" "4" "5" "5" "5"
## [28315] "4" "5" "4" "4" "1" "5" "5" "5" "5" "5" "5" "4" "1" "1" "5" "5" "5" "1"
## [28333] "5" "4" "5" "4" "5" "5" "4" "5" "5" "5" "5" "4" "5" "1" "5" "1" "1" "1"
## [28351] "4" "5" "5" "1" "1" "1" "5" "5" "1" "4" "5" "1" "4" "5" "5" "5" "5" "1"
## [28369] "4" "5" "5" "5" "1" "5" "5" "4" "5" "5" "4" "1" "4" "5" "5" "5" "5" "1"
## [28387] "5" "5" "5" "1" "5" "4" "4" "5" "5" "1" "4" "4" "5" "5" "4" "5" "5" "5"
## [28405] "1" "5" "5" "5" "4" "4" "4" "1" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5"
## [28423] "5" "1" "5" "4" "1" "5" "1" "5" "4" "4" "1" "1" "4" "5" "5" "1" "1" "1"
## [28441] "1" "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5" "5" "4" "5" "1" "4" "1"
## [28459] "4" "5" "5" "5" "1" "4" "4" "4" "5" "5" "5" "1" "5" "4" "5" "4" "1" "5"
## [28477] "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "4" "5" "5" "1" "5" "5" "4" "4"
## [28495] "5" "5" "1" "4" "5" "4" "1" "1" "5" "5" "1" "5" "5" "5" "5" "5" "1" "4"
## [28513] "1" "1" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [28531] "5" "4" "5" "4" "4" "4" "1" "1" "4" "1" "5" "5" "1" "5" "1" "5" "1" "4"
## [28549] "4" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "4" "5" "4" "4" "4"
## [28567] "1" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "1" "5" "5" "4" "5"
## [28585] "5" "4" "4" "5" "5" "5" "5" "5" "4" "4" "5" "1" "5" "5" "1" "5" "5" "5"
## [28603] "4" "1" "4" "5" "5" "5" "4" "4" "5" "4" "5" "1" "5" "5" "4" "1" "1" "4"
## [28621] "5" "1" "1" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5"
## [28639] "1" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "1" "1"
## [28657] "4" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "4" "5"
## [28675] "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "1" "1"
## [28693] "1" "4" "5" "5" "5" "5" "4" "1" "5" "5" "4" "5" "5" "5" "5" "4" "5" "4"
## [28711] "1" "5" "5" "1" "1" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "5" "4"
## [28729] "5" "5" "4" "1" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "1" "1" "4" "5"
## [28747] "4" "4" "4" "4" "5" "4" "5" "5" "1" "5" "5" "4" "5" "4" "5" "4" "5" "5"
## [28765] "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "4" "5" "4" "5" "4"
## [28783] "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5"
## [28801] "5" "4" "1" "5" "1" "5" "5" "4" "5" "4" "5" "4" "5" "1" "1" "4" "5" "5"
## [28819] "4" "1" "4" "1" "5" "4" "4" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5"
## [28837] "1" "5" "5" "1" "5" "1" "5" "5" "5" "1" "5" "4" "4" "5" "5" "1" "5" "5"
## [28855] "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "4" "1" "1"
## [28873] "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "1" "1" "5" "5" "5" "4" "4" "4"
## [28891] "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "1"
## [28909] "5" "5" "4" "5" "4" "4" "5" "4" "4" "5" "5" "5" "5" "1" "5" "4" "5" "5"
## [28927] "5" "5" "5" "4" "5" "5" "4" "1" "1" "5" "1" "4" "1" "5" "5" "1" "5" "4"
## [28945] "4" "4" "5" "1" "1" "5" "5" "5" "1" "5" "5" "5" "4" "1" "4" "4" "5" "5"
## [28963] "5" "4" "1" "5" "5" "5" "5" "1" "1" "4" "4" "1" "4" "5" "5" "5" "5" "4"
## [28981] "5" "5" "5" "4" "4" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4"
## [28999] "1" "5" "5" "5" "5" "5" "5" "4" "5" "4" "1" "5" "5" "5" "5" "1" "5" "1"
## [29017] "5" "1" "5" "5" "1" "1" "1" "5" "1" "1" "5" "5" "5" "5" "5" "1" "5" "1"
## [29035] "5" "5" "5" "1" "4" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "4" "1" "4"
## [29053] "5" "4" "1" "4" "4" "5" "5" "5" "1" "4" "1" "5" "1" "5" "5" "5" "5" "4"
## [29071] "1" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [29089] "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "4" "1" "1" "5" "5"
## [29107] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5"
## [29125] "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "4" "4" "4" "5" "5" "5" "1" "5"
## [29143] "5" "5" "5" "5" "4" "4" "4" "5" "4" "4" "5" "5" "5" "4" "5" "4" "5" "5"
## [29161] "5" "5" "5" "1" "5" "5" "5" "4" "4" "5" "5" "4" "5" "5" "5" "5" "1" "5"
## [29179] "1" "1" "4" "1" "1" "1" "5" "4" "5" "5" "4" "4" "5" "5" "5" "5" "5" "4"
## [29197] "5" "1" "4" "5" "4" "1" "5" "5" "5" "1" "4" "1" "5" "5" "4" "1" "1" "1"
## [29215] "1" "5" "1" "5" "4" "4" "4" "4" "5" "1" "4" "5" "5" "4" "5" "5" "5" "5"
## [29233] "5" "5" "1" "5" "4" "5" "1" "4" "5" "4" "5" "5" "4" "5" "4" "5" "5" "4"
## [29251] "5" "4" "5" "1" "4" "4" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "4" "1"
## [29269] "5" "5" "5" "1" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1"
## [29287] "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "1" "4"
## [29305] "5" "5" "5" "5" "4" "4" "4" "5" "1" "5" "4" "1" "5" "1" "5" "5" "5" "4"
## [29323] "4" "1" "1" "4" "5" "5" "5" "5" "5" "5" "5" "1" "1" "4" "1" "4" "5" "4"
## [29341] "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5"
## [29359] "5" "1" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "1"
## [29377] "1" "5" "5" "5" "4" "1" "1" "1" "5" "5" "5" "5" "4" "1" "5" "5" "5" "1"
## [29395] "4" "5" "5" "4" "5" "4" "5" "4" "5" "1" "5" "1" "5" "5" "1" "1" "5" "5"
## [29413] "5" "1" "5" "5" "1" "5" "4" "4" "4" "5" "4" "5" "5" "5" "5" "5" "4" "1"
## [29431] "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "5"
## [29449] "1" "5" "5" "1" "5" "5" "1" "5" "5" "5" "5" "4" "5" "1" "1" "5" "4" "4"
## [29467] "5" "5" "1" "1" "5" "5" "4" "1" "5" "5" "5" "5" "1" "1" "5" "1" "5" "5"
## [29485] "1" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "5" "5"
## [29503] "1" "1" "5" "1" "5" "5" "1" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "5"
## [29521] "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "1" "1" "5" "5" "1" "1"
## [29539] "4" "5" "5" "5" "4" "1" "1" "5" "5" "5" "5" "4" "5" "5" "4" "4" "5" "5"
## [29557] "4" "5" "1" "5" "1" "5" "5" "5" "1" "1" "1" "4" "4" "4" "5" "5" "1" "5"
## [29575] "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5"
## [29593] "5" "4" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5" "5" "4" "4" "5" "5" "5"
## [29611] "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "5" "4" "5" "5" "5" "4"
## [29629] "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5"
## [29647] "5" "4" "5" "5" "5" "5" "4" "5" "1" "4" "5" "4" "1" "4" "4" "5" "5" "5"
## [29665] "4" "4" "5" "1" "4" "5" "5" "1" "5" "4" "5" "5" "5" "5" "4" "5" "1" "1"
## [29683] "5" "4" "5" "5" "4" "5" "5" "1" "5" "5" "4" "5" "5" "4" "5" "5" "5" "4"
## [29701] "4" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [29719] "5" "5" "5" "5" "4" "5" "5" "1" "5" "4" "5" "5" "5" "4" "5" "5" "1" "5"
## [29737] "1" "5" "1" "5" "4" "4" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "1" "1"
## [29755] "4" "5" "4" "4" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [29773] "5" "5" "5" "5" "1" "5" "1" "4" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5"
## [29791] "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "4" "5" "1"
## [29809] "1" "4" "5" "4" "4" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [29827] "5" "1" "4" "1" "1" "5" "5" "1" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5"
## [29845] "5" "4" "5" "5" "5" "5" "1" "5" "5" "4" "1" "5" "5" "5" "5" "4" "5" "5"
## [29863] "4" "1" "1" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "1" "5" "5" "1" "4"
## [29881] "5" "5" "1" "5" "4" "1" "5" "1" "1" "5" "5" "4" "5" "5" "4" "4" "1" "5"
## [29899] "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4"
## [29917] "5" "5" "5" "5" "1" "1" "5" "5" "5" "1" "5" "4" "4" "1" "1" "5" "5" "5"
## [29935] "5" "5" "5" "1" "5" "4" "4" "4" "5" "5" "5" "1" "4" "5" "4" "5" "5" "5"
## [29953] "5" "5" "5" "4" "4" "5" "4" "5" "5" "4" "1" "5" "4" "5" "4" "5" "5" "5"
## [29971] "5" "4" "5" "5" "5" "4" "5" "4" "1" "5" "1" "4" "5" "5" "4" "5" "4" "5"
## [29989] "5" "1" "5" "1" "4" "5" "4" "5" "4" "5" "4" "5" "5" "5" "5" "4" "5" "4"
## [30007] "5" "5" "1" "4" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5"
## [30025] "5" "5" "1" "5" "5" "4" "4" "5" "4" "5" "5" "5" "4" "4" "5" "5" "5" "5"
## [30043] "5" "5" "5" "5" "4" "4" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [30061] "4" "5" "5" "5" "5" "5" "5" "4" "5" "4" "4" "5" "5" "5" "4" "4" "4" "5"
## [30079] "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5" "1" "4" "1" "5"
## [30097] "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "4" "1" "1" "1" "5" "5" "5"
## [30115] "5" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "4"
## [30133] "4" "1" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "4" "1" "1" "5" "1" "5"
## [30151] "5" "4" "4" "1" "5" "1" "5" "5" "4" "5" "5" "5" "4" "4" "5" "1" "4" "4"
## [30169] "5" "4" "5" "5" "5" "5" "1" "5" "1" "5" "1" "5" "5" "4" "5" "5" "5" "1"
## [30187] "5" "5" "4" "1" "4" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5"
## [30205] "4" "4" "4" "1" "5" "5" "1" "1" "1" "1" "1" "5" "5" "5" "5" "5" "5" "5"
## [30223] "1" "5" "5" "5" "5" "4" "4" "1" "4" "4" "1" "5" "5" "4" "5" "5" "4" "5"
## [30241] "5" "5" "5" "1" "5" "4" "4" "5" "4" "4" "1" "4" "5" "4" "5" "4" "1" "5"
## [30259] "5" "5" "5" "5" "1" "4" "1" "4" "5" "1" "5" "5" "4" "5" "4" "5" "4" "5"
## [30277] "4" "4" "4" "4" "5" "5" "4" "5" "4" "5" "4" "5" "1" "4" "5" "5" "5" "4"
## [30295] "4" "4" "4" "5" "5" "5" "5" "5" "4" "1" "5" "1" "5" "5" "1" "4" "4" "5"
## [30313] "4" "4" "5" "1" "4" "4" "1" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "1"
## [30331] "1" "1" "5" "5" "4" "1" "5" "1" "4" "4" "5" "4" "5" "5" "5" "5" "5" "5"
## [30349] "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5"
## [30367] "5" "4" "5" "5" "5" "4" "1" "5" "5" "1" "1" "5" "5" "5" "1" "4" "5" "5"
## [30385] "4" "4" "1" "5" "4" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5"
## [30403] "1" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "4"
## [30421] "5" "5" "5" "5" "5" "4" "5" "5" "1" "1" "5" "5" "5" "5" "1" "5" "1" "5"
## [30439] "4" "4" "5" "4" "5" "4" "5" "4" "1" "5" "4" "5" "4" "5" "5" "1" "4" "5"
## [30457] "1" "5" "1" "4" "5" "5" "1" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5"
## [30475] "5" "5" "5" "4" "4" "5" "4" "5" "1" "4" "1" "5" "4" "4" "5" "4" "5" "5"
## [30493] "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [30511] "1" "5" "1" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "1" "4"
## [30529] "5" "1" "4" "4" "5" "5" "5" "4" "5" "5" "4" "1" "4" "5" "5" "5" "5" "5"
## [30547] "4" "4" "5" "4" "5" "5" "5" "1" "4" "5" "4" "5" "4" "5" "1" "4" "5" "5"
## [30565] "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "1" "4" "4" "4" "5" "5" "5" "4"
## [30583] "4" "5" "5" "5" "5" "5" "5" "1" "4" "1" "5" "1" "1" "4" "5" "4" "4" "1"
## [30601] "5" "1" "5" "5" "1" "5" "5" "4" "5" "5" "5" "4" "4" "5" "4" "5" "5" "4"
## [30619] "5" "5" "4" "5" "4" "5" "5" "1" "1" "4" "5" "5" "4" "4" "5" "4" "5" "5"
## [30637] "5" "1" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5" "5" "5" "4" "5" "4" "5"
## [30655] "5" "5" "1" "4" "5" "1" "4" "4" "4" "5" "4" "5" "5" "4" "5" "4" "5" "1"
## [30673] "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1"
## [30691] "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "4" "4" "5"
## [30709] "5" "1" "1" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "1" "5"
## [30727] "5" "5" "4" "4" "5" "5" "1" "5" "5" "5" "4" "4" "5" "1" "5" "5" "5" "1"
## [30745] "5" "4" "5" "4" "4" "4" "4" "5" "5" "4" "4" "5" "1" "4" "5" "4" "5" "4"
## [30763] "5" "5" "5" "4" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [30781] "5" "1" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "4" "4" "5"
## [30799] "4" "4" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "5" "4" "5"
## [30817] "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "1" "1" "5" "5" "5" "1" "5" "5"
## [30835] "5" "4" "5" "4" "5" "5" "1" "4" "5" "5" "5" "5" "1" "5" "1" "5" "5" "4"
## [30853] "1" "5" "1" "5" "5" "5" "5" "5" "4" "5" "4" "4" "1" "1" "4" "5" "4" "1"
## [30871] "5" "4" "5" "5" "1" "4" "4" "1" "4" "5" "1" "1" "5" "1" "5" "5" "5" "5"
## [30889] "5" "5" "4" "5" "4" "1" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "1"
## [30907] "5" "5" "4" "1" "5" "5" "5" "4" "1" "5" "1" "1" "5" "1" "5" "1" "4" "4"
## [30925] "5" "4" "4" "4" "5" "4" "4" "5" "4" "4" "5" "5" "5" "4" "1" "1" "4" "1"
## [30943] "5" "5" "5" "5" "1" "1" "5" "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5"
## [30961] "5" "4" "4" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5"
## [30979] "5" "5" "4" "4" "5" "5" "5" "4" "4" "5" "5" "1" "5" "5" "5" "5" "4" "4"
## [30997] "5" "5" "5" "4" "4" "5" "4" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "4"
## [31015] "5" "1" "4" "5" "4" "4" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [31033] "5" "5" "5" "1" "5" "1" "1" "4" "4" "1" "5" "5" "5" "5" "4" "5" "5" "1"
## [31051] "5" "5" "5" "1" "5" "4" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "4" "5"
## [31069] "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "4" "5" "5" "1"
## [31087] "5" "5" "5" "5" "5" "5" "4" "5" "4" "4" "4" "5" "5" "5" "5" "4" "5" "4"
## [31105] "4" "1" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5"
## [31123] "4" "1" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "4" "5" "4" "5" "5"
## [31141] "5" "5" "5" "1" "4" "4" "1" "4" "5" "5" "4" "4" "5" "4" "4" "5" "1" "4"
## [31159] "1" "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5"
## [31177] "5" "1" "5" "5" "5" "4" "4" "4" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5"
## [31195] "4" "1" "4" "5" "4" "5" "5" "5" "1" "4" "5" "5" "5" "1" "5" "5" "5" "5"
## [31213] "1" "5" "4" "4" "5" "5" "1" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5"
## [31231] "4" "4" "5" "4" "1" "1" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5"
## [31249] "5" "5" "5" "5" "1" "4" "4" "5" "4" "5" "5" "5" "4" "5" "5" "1" "5" "1"
## [31267] "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5" "4" "4" "4" "5" "1"
## [31285] "5" "4" "1" "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "4" "4" "1" "5" "5"
## [31303] "5" "1" "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4"
## [31321] "5" "1" "5" "1" "4" "5" "5" "1" "4" "5" "5" "4" "5" "5" "5" "5" "4" "5"
## [31339] "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "1" "4" "5" "1" "5" "4" "1"
## [31357] "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "5" "4" "4" "5" "4" "5" "4"
## [31375] "4" "5" "5" "4" "1" "4" "5" "5" "5" "5" "1" "1" "5" "4" "5" "1" "5" "5"
## [31393] "4" "4" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [31411] "1" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "5" "4" "4" "1" "1"
## [31429] "4" "5" "4" "4" "5" "5" "4" "5" "1" "1" "5" "5" "5" "1" "5" "4" "5" "5"
## [31447] "5" "4" "4" "5" "5" "4" "1" "5" "5" "4" "5" "4" "1" "5" "1" "4" "4" "4"
## [31465] "1" "5" "5" "1" "1" "5" "5" "4" "5" "4" "1" "4" "4" "1" "4" "5" "4" "5"
## [31483] "5" "4" "5" "5" "5" "5" "5" "5" "4" "4" "4" "1" "5" "5" "5" "5" "4" "5"
## [31501] "5" "1" "4" "5" "4" "4" "1" "5" "1" "5" "4" "5" "4" "5" "4" "5" "5" "5"
## [31519] "5" "5" "5" "5" "4" "4" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "4"
## [31537] "4" "5" "5" "5" "5" "4" "5" "4" "1" "5" "1" "5" "5" "5" "5" "1" "5" "5"
## [31555] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "4" "5" "1" "4" "5" "1"
## [31573] "5" "5" "4" "5" "4" "5" "5" "5" "4" "4" "4" "5" "5" "5" "4" "5" "5" "5"
## [31591] "5" "4" "4" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "4"
## [31609] "4" "5" "1" "4" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "1"
## [31627] "5" "4" "4" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "1" "4"
## [31645] "5" "5" "4" "5" "5" "5" "4" "4" "5" "5" "1" "1" "5" "4" "4" "4" "1" "5"
## [31663] "5" "4" "4" "5" "5" "5" "4" "5" "5" "4" "4" "1" "1" "5" "5" "5" "4" "1"
## [31681] "5" "5" "5" "1" "4" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5"
## [31699] "5" "4" "5" "1" "5" "5" "4" "4" "5" "5" "5" "4" "4" "5" "4" "1" "1" "5"
## [31717] "4" "4" "5" "4" "5" "5" "4" "5" "4" "1" "4" "1" "4" "5" "5" "5" "5" "5"
## [31735] "4" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5"
## [31753] "5" "5" "4" "5" "4" "5" "5" "1" "5" "4" "5" "4" "4" "5" "1" "4" "1" "5"
## [31771] "5" "1" "5" "1" "5" "5" "4" "1" "5" "5" "1" "5" "1" "4" "5" "5" "4" "5"
## [31789] "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "4" "4" "4"
## [31807] "1" "5" "1" "5" "1" "4" "5" "4" "4" "5" "5" "1" "5" "4" "5" "4" "5" "5"
## [31825] "5" "5" "5" "4" "4" "5" "5" "4" "1" "4" "1" "1" "5" "5" "5" "1" "5" "5"
## [31843] "1" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1"
## [31861] "1" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "4" "1" "4" "5"
## [31879] "1" "1" "4" "5" "5" "5" "5" "4" "4" "4" "5" "4" "5" "4" "5" "5" "5" "4"
## [31897] "5" "4" "5" "5" "5" "4" "4" "4" "5" "4" "4" "5" "1" "5" "1" "5" "5" "4"
## [31915] "5" "5" "4" "5" "5" "5" "4" "4" "5" "1" "1" "1" "5" "5" "5" "4" "1" "5"
## [31933] "4" "5" "5" "4" "4" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "4" "5" "4"
## [31951] "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "4" "1" "1"
## [31969] "5" "5" "1" "4" "5" "4" "5" "5" "5" "5" "1" "5" "1" "4" "5" "1" "5" "4"
## [31987] "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [32005] "1" "1" "5" "1" "5" "1" "1" "4" "1" "4" "5" "5" "5" "4" "5" "5" "5" "5"
## [32023] "5" "5" "1" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "1" "4" "1" "4"
## [32041] "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "1" "5" "4" "5"
## [32059] "1" "5" "5" "4" "4" "1" "5" "4" "1" "1" "5" "1" "5" "5" "5" "5" "5" "4"
## [32077] "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "4" "4" "5" "4" "5" "5" "5"
## [32095] "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "4" "4" "4" "5" "4"
## [32113] "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5" "1" "1" "1" "5"
## [32131] "5" "4" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "4" "4" "5" "5" "5" "5"
## [32149] "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "4" "4"
## [32167] "5" "1" "4" "5" "1" "5" "5" "5" "4" "4" "4" "5" "4" "1" "5" "5" "4" "5"
## [32185] "5" "5" "1" "5" "4" "4" "5" "1" "5" "1" "1" "5" "5" "4" "5" "1" "5" "5"
## [32203] "5" "4" "5" "5" "4" "1" "4" "5" "5" "4" "5" "1" "5" "5" "5" "4" "1" "1"
## [32221] "1" "5" "5" "1" "4" "4" "5" "5" "5" "5" "4" "5" "5" "1" "1" "5" "5" "1"
## [32239] "4" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "1" "1" "4" "5" "4" "5" "5"
## [32257] "1" "5" "5" "5" "4" "4" "5" "5" "4" "5" "1" "5" "5" "5" "1" "4" "5" "1"
## [32275] "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "4" "1" "1"
## [32293] "5" "4" "5" "4" "5" "4" "5" "4" "5" "5" "4" "4" "5" "4" "5" "5" "5" "5"
## [32311] "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "4" "4"
## [32329] "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "4" "5"
## [32347] "5" "1" "5" "4" "1" "5" "5" "5" "4" "4" "1" "1" "5" "1" "5" "4" "4" "1"
## [32365] "5" "5" "1" "4" "4" "5" "4" "4" "4" "5" "1" "5" "4" "5" "5" "5" "5" "5"
## [32383] "4" "1" "4" "4" "5" "4" "5" "5" "1" "5" "5" "5" "1" "5" "5" "4" "5" "4"
## [32401] "5" "4" "5" "5" "1" "4" "4" "5" "5" "5" "4" "5" "1" "4" "4" "5" "4" "5"
## [32419] "1" "5" "5" "5" "1" "4" "5" "4" "5" "5" "5" "5" "5" "5" "4" "4" "5" "1"
## [32437] "5" "5" "5" "5" "1" "1" "4" "4" "1" "5" "5" "5" "5" "4" "5" "4" "5" "5"
## [32455] "1" "5" "4" "5" "4" "1" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5"
## [32473] "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "4"
## [32491] "5" "5" "5" "5" "5" "1" "5" "1" "5" "1" "5" "5" "1" "5" "5" "4" "5" "5"
## [32509] "5" "4" "5" "5" "1" "1" "5" "5" "5" "5" "4" "4" "5" "5" "4" "5" "1" "1"
## [32527] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "5" "4" "4" "5" "5"
## [32545] "1" "4" "4" "5" "1" "5" "1" "4" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5"
## [32563] "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5"
## [32581] "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "4" "4" "4" "1"
## [32599] "1" "1" "1" "5" "5" "5" "5" "5" "4" "1" "4" "5" "4" "5" "5" "1" "5" "5"
## [32617] "5" "1" "5" "5" "5" "5" "5" "5" "4" "1" "5" "1" "5" "4" "5" "5" "5" "5"
## [32635] "4" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "4" "1" "5" "1" "4" "5" "1"
## [32653] "5" "5" "1" "4" "5" "4" "5" "5" "4" "5" "4" "5" "1" "5" "1" "5" "1" "4"
## [32671] "5" "1" "4" "5" "5" "5" "4" "4" "5" "5" "1" "5" "1" "5" "1" "5" "5" "4"
## [32689] "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5"
## [32707] "5" "5" "5" "1" "5" "5" "4" "5" "1" "5" "5" "5" "4" "5" "4" "5" "5" "1"
## [32725] "4" "4" "1" "4" "5" "5" "4" "5" "5" "4" "1" "1" "5" "4" "4" "4" "5" "5"
## [32743] "1" "4" "5" "5" "1" "4" "5" "5" "5" "4" "1" "5" "4" "5" "1" "5" "5" "5"
## [32761] "4" "1" "5" "1" "5" "5" "1" "4" "5" "5" "4" "5" "5" "1" "5" "5" "4" "5"
## [32779] "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "4" "4" "1" "5" "5" "4" "5" "1"
## [32797] "4" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5"
## [32815] "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "1" "5" "5" "5"
## [32833] "5" "1" "5" "1" "4" "5" "4" "1" "4" "5" "5" "5" "5" "5" "4" "5" "5" "4"
## [32851] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "4" "1" "5" "5" "5" "4" "5"
## [32869] "5" "5" "5" "4" "1" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "1" "5"
## [32887] "4" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "1" "1" "5" "4"
## [32905] "5" "5" "4" "5" "5" "4" "5" "5" "1" "4" "5" "5" "5" "4" "5" "5" "5" "4"
## [32923] "4" "1" "4" "4" "5" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "1" "5" "5"
## [32941] "5" "5" "4" "5" "5" "1" "4" "5" "4" "1" "5" "1" "1" "5" "5" "5" "1" "4"
## [32959] "5" "5" "4" "1" "5" "5" "4" "5" "5" "1" "5" "4" "5" "5" "1" "1" "4" "4"
## [32977] "5" "5" "5" "1" "5" "5" "5" "1" "4" "1" "5" "4" "5" "4" "1" "5" "5" "5"
## [32995] "5" "4" "4" "4" "4" "5" "4" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5"
## [33013] "5" "4" "5" "1" "5" "4" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "4" "4"
## [33031] "5" "5" "4" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "4" "1"
## [33049] "5" "1" "5" "4" "4" "5" "5" "5" "5" "1" "4" "5" "1" "5" "4" "4" "1" "5"
## [33067] "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "4"
## [33085] "5" "1" "5" "5" "5" "1" "1" "5" "4" "5" "5" "5" "1" "1" "5" "4" "5" "5"
## [33103] "5" "5" "4" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "1" "5" "1" "5" "4"
## [33121] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "1" "4" "5"
## [33139] "5" "4" "4" "5" "5" "1" "5" "1" "5" "5" "1" "5" "5" "4" "4" "4" "4" "5"
## [33157] "1" "4" "5" "5" "4" "4" "5" "5" "5" "4" "1" "5" "4" "4" "5" "4" "5" "5"
## [33175] "4" "1" "5" "4" "1" "1" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [33193] "4" "4" "5" "5" "1" "1" "5" "4" "4" "5" "5" "5" "1" "5" "1" "4" "5" "5"
## [33211] "4" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1"
## [33229] "5" "4" "5" "4" "5" "5" "4" "5" "4" "5" "5" "4" "4" "5" "5" "5" "1" "4"
## [33247] "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5"
## [33265] "1" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "4" "5"
## [33283] "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5"
## [33301] "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "1" "1" "5" "1" "5" "4"
## [33319] "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "1" "5" "5" "5" "1" "5"
## [33337] "4" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5"
## [33355] "4" "5" "4" "4" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5"
## [33373] "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "4" "5" "4" "4" "4" "5"
## [33391] "1" "5" "5" "5" "5" "5" "1" "4" "5" "1" "4" "1" "4" "1" "4" "5" "4" "5"
## [33409] "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "5" "1" "1" "5" "5" "5"
## [33427] "5" "5" "1" "5" "5" "5" "5" "4" "5" "4" "5" "5" "4" "4" "5" "5" "5" "5"
## [33445] "5" "1" "5" "5" "5" "1" "5" "5" "4" "1" "4" "5" "5" "1" "4" "5" "5" "1"
## [33463] "5" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5"
## [33481] "5" "5" "4" "1" "5" "4" "1" "5" "1" "4" "5" "5" "5" "4" "5" "5" "5" "5"
## [33499] "5" "5" "5" "5" "1" "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "4"
## [33517] "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "4" "4" "1" "4" "4"
## [33535] "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "4" "5" "5" "5" "4" "4" "5"
## [33553] "5" "5" "5" "5" "5" "1" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [33571] "5" "5" "5" "1" "5" "1" "5" "1" "1" "5" "5" "5" "4" "1" "1" "5" "5" "5"
## [33589] "1" "5" "5" "1" "5" "1" "5" "4" "1" "5" "5" "5" "1" "5" "5" "1" "5" "4"
## [33607] "1" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "1"
## [33625] "5" "5" "5" "4" "5" "1" "5" "4" "5" "5" "5" "5" "4" "4" "1" "5" "5" "4"
## [33643] "4" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "1" "5"
## [33661] "4" "1" "4" "4" "5" "4" "4" "5" "5" "5" "1" "4" "5" "5" "5" "4" "4" "5"
## [33679] "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "1" "5"
## [33697] "1" "4" "5" "5" "1" "4" "4" "5" "5" "1" "4" "5" "5" "5" "4" "1" "5" "5"
## [33715] "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5"
## [33733] "1" "5" "1" "5" "4" "5" "5" "5" "5" "4" "5" "5" "1" "4" "5" "5" "5" "4"
## [33751] "5" "1" "4" "5" "4" "5" "1" "5" "5" "4" "5" "1" "5" "5" "5" "5" "4" "5"
## [33769] "1" "4" "5" "1" "5" "5" "5" "1" "4" "5" "4" "5" "5" "5" "4" "5" "5" "5"
## [33787] "4" "5" "5" "1" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "4"
## [33805] "5" "5" "4" "1" "4" "1" "5" "4" "5" "5" "5" "5" "4" "5" "4" "5" "4" "5"
## [33823] "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "1"
## [33841] "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "1" "1" "5" "5" "5" "5" "1"
## [33859] "5" "5" "5" "5" "5" "5" "1" "1" "1" "1" "5" "5" "5" "5" "4" "5" "5" "5"
## [33877] "5" "4" "5" "4" "4" "5" "5" "4" "4" "1" "5" "5" "4" "1" "5" "5" "5" "5"
## [33895] "5" "1" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5"
## [33913] "5" "5" "1" "5" "5" "4" "4" "5" "4" "5" "5" "4" "5" "5" "5" "1" "5" "5"
## [33931] "5" "5" "5" "4" "5" "4" "1" "4" "4" "4" "5" "5" "4" "5" "5" "5" "5" "5"
## [33949] "5" "1" "5" "4" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5"
## [33967] "4" "5" "4" "1" "4" "5" "4" "5" "5" "4" "5" "4" "5" "1" "1" "4" "1" "4"
## [33985] "5" "5" "4" "5" "1" "5" "1" "5" "5" "4" "4" "5" "1" "5" "5" "4" "5" "5"
## [34003] "4" "5" "5" "5" "4" "1" "4" "1" "5" "1" "5" "5" "5" "4" "5" "4" "1" "5"
## [34021] "5" "1" "5" "5" "5" "5" "1" "5" "1" "5" "1" "5" "5" "5" "5" "4" "5" "1"
## [34039] "5" "5" "1" "5" "5" "5" "1" "5" "5" "4" "1" "5" "1" "4" "4" "5" "5" "5"
## [34057] "5" "4" "1" "5" "1" "4" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5"
## [34075] "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "4" "5" "5"
## [34093] "5" "5" "1" "4" "5" "5" "5" "5" "4" "5" "1" "5" "1" "5" "5" "5" "1" "1"
## [34111] "1" "5" "4" "5" "5" "4" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5"
## [34129] "1" "1" "5" "5" "1" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5"
## [34147] "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "1" "4" "5"
## [34165] "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "4" "1" "5" "4" "5" "4" "5" "5"
## [34183] "4" "4" "5" "5" "5" "4" "5" "5" "5" "1" "4" "5" "5" "1" "5" "5" "5" "4"
## [34201] "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5"
## [34219] "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "1" "4" "5" "1" "5" "5" "4"
## [34237] "5" "5" "5" "4" "1" "5" "5" "5" "4" "1" "5" "5" "4" "4" "5" "5" "1" "5"
## [34255] "5" "5" "5" "4" "5" "1" "5" "4" "4" "5" "5" "4" "1" "1" "5" "5" "1" "5"
## [34273] "5" "4" "4" "5" "5" "5" "4" "5" "5" "1" "4" "4" "5" "4" "4" "5" "5" "5"
## [34291] "5" "1" "1" "5" "5" "5" "5" "1" "4" "1" "4" "5" "1" "4" "4" "5" "4" "4"
## [34309] "4" "5" "4" "4" "4" "5" "5" "5" "4" "4" "4" "4" "5" "5" "1" "1" "5" "4"
## [34327] "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [34345] "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "4" "1" "1" "5" "5" "5" "1" "5"
## [34363] "1" "4" "1" "5" "5" "5" "5" "5" "1" "5" "4" "4" "5" "4" "5" "5" "5" "5"
## [34381] "5" "1" "1" "5" "4" "5" "5" "1" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5"
## [34399] "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "4" "5" "4" "1" "1" "5" "1" "5"
## [34417] "5" "5" "5" "5" "1" "4" "1" "5" "5" "4" "4" "5" "5" "5" "5" "4" "4" "5"
## [34435] "1" "1" "5" "5" "5" "5" "5" "1" "5" "1" "5" "1" "5" "5" "4" "5" "5" "5"
## [34453] "4" "5" "1" "4" "5" "5" "5" "4" "4" "5" "4" "5" "5" "5" "4" "5" "5" "5"
## [34471] "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "4" "1"
## [34489] "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1"
## [34507] "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "4" "4" "4"
## [34525] "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "5" "4" "5" "5" "5" "5"
## [34543] "5" "1" "4" "1" "5" "5" "5" "4" "5" "1" "4" "1" "5" "5" "5" "5" "4" "5"
## [34561] "1" "4" "1" "5" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5"
## [34579] "4" "5" "5" "4" "1" "4" "4" "5" "1" "1" "5" "1" "5" "4" "5" "5" "1" "1"
## [34597] "5" "4" "4" "5" "4" "5" "4" "5" "4" "5" "5" "5" "1" "4" "4" "1" "5" "5"
## [34615] "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4"
## [34633] "5" "5" "1" "5" "5" "5" "4" "1" "4" "5" "4" "5" "5" "1" "5" "5" "5" "5"
## [34651] "1" "5" "1" "5" "4" "5" "5" "1" "5" "1" "5" "1" "4" "5" "1" "5" "5" "1"
## [34669] "1" "5" "5" "5" "4" "1" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1"
## [34687] "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "4" "4" "5" "5"
## [34705] "5" "4" "5" "5" "1" "1" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5"
## [34723] "1" "5" "4" "4" "1" "1" "4" "5" "5" "5" "4" "5" "1" "4" "5" "5" "4" "5"
## [34741] "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5"
## [34759] "1" "4" "5" "5" "5" "5" "4" "4" "4" "5" "5" "1" "5" "5" "5" "5" "4" "5"
## [34777] "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "4" "5"
## [34795] "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "4" "5" "5" "1" "5"
## [34813] "4" "5" "1" "5" "5" "1" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5"
## [34831] "4" "4" "4" "5" "5" "5" "4" "1" "1" "1" "5" "5" "5" "1" "5" "4" "1" "5"
## [34849] "5" "5" "5" "1" "5" "5" "1" "4" "5" "5" "5" "5" "1" "5" "1" "1" "4" "4"
## [34867] "5" "5" "5" "5" "5" "5" "1" "4" "5" "4" "5" "5" "1" "4" "5" "5" "4" "5"
## [34885] "5" "5" "5" "1" "5" "4" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "4"
## [34903] "1" "1" "1" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4"
## [34921] "5" "1" "1" "5" "5" "1" "5" "5" "1" "1" "5" "4" "4" "4" "5" "5" "4" "5"
## [34939] "5" "4" "5" "4" "4" "4" "1" "1" "1" "4" "5" "5" "5" "5" "4" "1" "1" "5"
## [34957] "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "4" "4" "5" "5"
## [34975] "5" "5" "5" "4" "4" "4" "1" "5" "1" "4" "5" "4" "4" "1" "5" "4" "4" "5"
## [34993] "5" "5" "5" "4" "5" "4" "5" "4" "1" "5" "5" "5" "4" "5" "5" "4" "4" "4"
## [35011] "4" "5" "4" "5" "5" "5" "1" "5" "5" "1" "1" "1" "1" "5" "5" "1" "1" "5"
## [35029] "5" "1" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1"
## [35047] "1" "4" "4" "4" "1" "1" "5" "4" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [35065] "4" "5" "4" "4" "1" "5" "5" "1" "1" "4" "5" "5" "5" "5" "5" "4" "5" "5"
## [35083] "5" "5" "1" "4" "4" "1" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "4" "5"
## [35101] "5" "5" "5" "4" "4" "1" "4" "1" "1" "1" "5" "5" "4" "5" "5" "5" "5" "5"
## [35119] "5" "4" "4" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "1" "4" "4" "5"
## [35137] "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4" "4" "5"
## [35155] "4" "1" "5" "5" "5" "5" "4" "5" "4" "5" "4" "4" "5" "1" "1" "4" "1" "5"
## [35173] "5" "5" "1" "4" "5" "4" "5" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5" "4"
## [35191] "5" "5" "5" "1" "5" "4" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "4" "5"
## [35209] "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "1" "1" "5"
## [35227] "5" "5" "5" "5" "1" "1" "5" "1" "5" "5" "5" "4" "5" "5" "1" "4" "5" "5"
## [35245] "5" "5" "5" "5" "4" "5" "5" "1" "1" "5" "4" "5" "5" "4" "5" "5" "4" "5"
## [35263] "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4"
## [35281] "5" "5" "1" "5" "1" "4" "5" "5" "5" "1" "1" "5" "5" "1" "4" "1" "5" "5"
## [35299] "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [35317] "5" "4" "4" "5" "4" "1" "5" "4" "5" "4" "1" "4" "4" "5" "5" "5" "5" "5"
## [35335] "5" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "4" "5" "5" "1" "5" "5" "5"
## [35353] "5" "5" "5" "1" "4" "5" "5" "4" "1" "5" "5" "5" "5" "1" "4" "5" "5" "5"
## [35371] "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "1" "5" "5"
## [35389] "1" "5" "1" "5" "5" "4" "5" "5" "4" "4" "1" "5" "1" "5" "5" "5" "4" "5"
## [35407] "5" "5" "5" "5" "5" "5" "4" "5" "4" "1" "5" "5" "4" "1" "5" "4" "5" "5"
## [35425] "5" "5" "5" "4" "1" "5" "5" "1" "5" "5" "1" "5" "5" "5" "4" "5" "1" "5"
## [35443] "5" "5" "5" "4" "5" "5" "5" "1" "1" "1" "5" "4" "5" "5" "5" "5" "5" "5"
## [35461] "1" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "4" "5" "4" "4"
## [35479] "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "4" "5" "5" "5" "1"
## [35497] "5" "5" "4" "5" "5" "4" "4" "4" "5" "1" "4" "5" "5" "1" "5" "1" "4" "5"
## [35515] "5" "1" "4" "4" "1" "4" "4" "4" "5" "4" "4" "5" "1" "5" "5" "1" "5" "5"
## [35533] "5" "5" "4" "1" "5" "4" "1" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5"
## [35551] "5" "4" "4" "1" "5" "4" "4" "4" "5" "5" "5" "5" "4" "1" "4" "1" "5" "4"
## [35569] "4" "5" "5" "1" "5" "4" "4" "5" "5" "5" "5" "4" "1" "4" "4" "5" "4" "1"
## [35587] "5" "5" "5" "4" "4" "5" "4" "1" "1" "5" "4" "1" "5" "5" "4" "5" "5" "5"
## [35605] "4" "4" "5" "5" "1" "5" "4" "4" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5"
## [35623] "1" "5" "1" "5" "5" "4" "4" "5" "1" "5" "5" "4" "5" "4" "5" "5" "5" "1"
## [35641] "5" "5" "4" "4" "1" "5" "5" "1" "4" "1" "5" "1" "5" "4" "5" "1" "5" "5"
## [35659] "4" "4" "1" "1" "4" "1" "5" "1" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5"
## [35677] "5" "4" "5" "5" "1" "1" "5" "1" "5" "5" "4" "5" "1" "5" "5" "1" "1" "5"
## [35695] "5" "5" "5" "4" "5" "5" "1" "4" "5" "4" "5" "5" "1" "1" "4" "4" "5" "4"
## [35713] "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "4" "4" "5" "4" "1" "4" "5"
## [35731] "4" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "1"
## [35749] "4" "4" "1" "4" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5" "4" "5" "5" "5"
## [35767] "5" "5" "5" "1" "1" "4" "5" "5" "4" "4" "4" "5" "1" "4" "5" "1" "5" "1"
## [35785] "1" "1" "1" "5" "4" "5" "4" "5" "1" "4" "5" "5" "4" "5" "4" "5" "1" "5"
## [35803] "1" "4" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "1" "5" "1" "5" "1"
## [35821] "4" "5" "5" "5" "1" "5" "4" "5" "4" "1" "4" "5" "4" "5" "4" "5" "4" "5"
## [35839] "4" "4" "1" "1" "5" "4" "5" "5" "5" "4" "4" "1" "5" "1" "5" "4" "4" "5"
## [35857] "5" "5" "1" "5" "1" "5" "1" "4" "4" "5" "1" "5" "5" "4" "5" "5" "4" "4"
## [35875] "4" "5" "5" "4" "5" "5" "5" "1" "1" "4" "1" "4" "5" "1" "5" "5" "5" "1"
## [35893] "5" "5" "1" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5"
## [35911] "1" "1" "5" "5" "5" "5" "5" "4" "1" "5" "1" "5" "5" "1" "4" "4" "5" "5"
## [35929] "1" "1" "1" "5" "5" "4" "5" "4" "5" "5" "1" "5" "5" "1" "5" "5" "1" "5"
## [35947] "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "4" "1" "5" "4" "5" "5" "5"
## [35965] "4" "5" "4" "5" "4" "5" "1" "5" "5" "1" "1" "4" "4" "1" "5" "5" "4" "5"
## [35983] "5" "1" "4" "5" "4" "1" "4" "5" "5" "1" "4" "5" "5" "5" "5" "5" "4" "5"
## [36001] "5" "5" "5" "1" "5" "1" "5" "5" "5" "4" "1" "5" "5" "4" "5" "5" "5" "5"
## [36019] "1" "5" "5" "5" "1" "5" "1" "5" "4" "5" "5" "1" "5" "5" "5" "1" "5" "5"
## [36037] "5" "5" "1" "5" "5" "1" "1" "4" "4" "4" "5" "5" "5" "5" "5" "4" "5" "1"
## [36055] "4" "5" "5" "4" "1" "5" "1" "4" "1" "1" "5" "1" "5" "4" "5" "4" "5" "5"
## [36073] "5" "4" "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4"
## [36091] "5" "4" "1" "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "1" "5" "1"
## [36109] "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "1"
## [36127] "1" "5" "5" "4" "5" "4" "5" "5" "1" "4" "5" "5" "5" "5" "5" "1" "1" "4"
## [36145] "5" "5" "4" "1" "1" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5" "5" "5"
## [36163] "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "4" "4" "5" "4" "4" "5" "5" "5"
## [36181] "4" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5"
## [36199] "4" "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5"
## [36217] "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5" "1" "1" "4" "5" "5" "4"
## [36235] "5" "4" "4" "5" "1" "5" "4" "5" "1" "5" "5" "5" "5" "5" "1" "5" "1" "4"
## [36253] "5" "5" "5" "5" "5" "1" "5" "1" "5" "4" "5" "5" "5" "5" "1" "1" "5" "1"
## [36271] "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5" "5"
## [36289] "5" "5" "5" "1" "4" "4" "5" "4" "5" "1" "5" "5" "1" "5" "5" "4" "5" "5"
## [36307] "5" "1" "5" "5" "5" "1" "5" "5" "5" "4" "4" "4" "5" "4" "4" "4" "5" "5"
## [36325] "4" "5" "4" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5"
## [36343] "4" "4" "4" "4" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5" "5" "4" "5"
## [36361] "5" "1" "5" "1" "5" "5" "4" "1" "5" "5" "5" "5" "5" "1" "1" "4" "5" "5"
## [36379] "5" "5" "1" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "4" "5" "4" "5" "5"
## [36397] "1" "5" "4" "5" "5" "1" "1" "5" "5" "5" "4" "4" "1" "5" "1" "5" "4" "5"
## [36415] "5" "4" "4" "5" "5" "1" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "4" "1"
## [36433] "5" "1" "4" "4" "1" "5" "4" "4" "5" "5" "4" "1" "5" "4" "5" "5" "5" "5"
## [36451] "4" "5" "1" "5" "4" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "1" "5" "5"
## [36469] "5" "4" "4" "4" "5" "5" "5" "1" "5" "5" "1" "4" "5" "5" "4" "5" "5" "4"
## [36487] "4" "1" "1" "4" "1" "5" "5" "4" "4" "1" "4" "4" "5" "4" "5" "1" "5" "5"
## [36505] "5" "5" "5" "5" "5" "4" "5" "5" "4" "4" "5" "5" "4" "1" "5" "4" "5" "5"
## [36523] "4" "5" "5" "5" "5" "5" "1" "5" "1" "5" "1" "5" "1" "5" "1" "4" "1" "5"
## [36541] "5" "4" "5" "5" "4" "5" "5" "4" "5" "5" "4" "1" "5" "1" "5" "4" "1" "4"
## [36559] "5" "4" "1" "5" "5" "5" "1" "1" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [36577] "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "1" "1"
## [36595] "5" "5" "5" "5" "4" "1" "5" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "4"
## [36613] "1" "5" "1" "5" "1" "5" "5" "5" "1" "4" "1" "5" "5" "5" "5" "4" "5" "4"
## [36631] "5" "5" "5" "5" "4" "5" "5" "4" "1" "4" "4" "5" "4" "5" "5" "5" "1" "5"
## [36649] "5" "1" "4" "4" "4" "5" "1" "5" "5" "1" "5" "5" "5" "4" "4" "5" "5" "5"
## [36667] "4" "1" "4" "5" "1" "5" "5" "4" "4" "5" "5" "4" "5" "5" "1" "5" "5" "1"
## [36685] "5" "4" "5" "5" "5" "1" "5" "5" "1" "4" "5" "5" "5" "5" "4" "4" "4" "5"
## [36703] "5" "5" "1" "1" "5" "5" "5" "5" "4" "4" "4" "1" "5" "5" "5" "5" "4" "4"
## [36721] "5" "5" "1" "4" "5" "5" "5" "4" "1" "1" "1" "5" "5" "4" "5" "4" "4" "5"
## [36739] "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5"
## [36757] "5" "5" "4" "5" "5" "4" "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5"
## [36775] "5" "5" "1" "5" "4" "5" "5" "5" "5" "4" "1" "4" "5" "4" "1" "5" "5" "5"
## [36793] "5" "4" "4" "1" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [36811] "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "4"
## [36829] "4" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "1" "4" "5" "5" "4" "5" "4"
## [36847] "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "1" "5"
## [36865] "4" "5" "1" "5" "1" "5" "5" "5" "5" "1" "4" "5" "1" "5" "5" "1" "1" "5"
## [36883] "4" "1" "5" "5" "5" "1" "5" "5" "4" "5" "1" "4" "5" "4" "5" "5" "5" "5"
## [36901] "4" "5" "1" "5" "5" "1" "4" "5" "5" "5" "1" "5" "5" "5" "4" "4" "5" "4"
## [36919] "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5" "5" "5" "4" "1" "5" "5"
## [36937] "5" "4" "5" "1" "5" "5" "5" "5" "1" "5" "5" "1" "4" "5" "5" "1" "5" "4"
## [36955] "5" "5" "5" "4" "5" "5" "1" "4" "4" "5" "5" "4" "5" "5" "4" "5" "1" "5"
## [36973] "4" "4" "5" "4" "5" "4" "4" "4" "1" "4" "1" "1" "1" "4" "5" "4" "5" "5"
## [36991] "5" "4" "4" "1" "5" "4" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1"
## [37009] "4" "4" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "1" "1" "1" "5"
## [37027] "4" "1" "1" "5" "5" "5" "5" "1" "1" "5" "5" "5" "4" "5" "5" "5" "5" "4"
## [37045] "5" "5" "5" "5" "4" "1" "4" "1" "4" "5" "1" "5" "5" "5" "4" "5" "5" "4"
## [37063] "1" "5" "5" "1" "5" "5" "4" "1" "5" "5" "4" "5" "5" "4" "4" "4" "5" "4"
## [37081] "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "4" "5" "4" "5"
## [37099] "4" "4" "4" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "4" "5" "4"
## [37117] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4"
## [37135] "5" "1" "5" "1" "1" "5" "5" "5" "1" "4" "5" "5" "5" "1" "4" "4" "5" "5"
## [37153] "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [37171] "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5"
## [37189] "5" "5" "5" "5" "4" "5" "5" "1" "5" "4" "4" "5" "1" "1" "1" "5" "5" "5"
## [37207] "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "1" "5" "5" "1" "5" "1"
## [37225] "4" "4" "5" "5" "5" "1" "5" "5" "1" "5" "1" "5" "5" "1" "5" "4" "4" "4"
## [37243] "4" "4" "4" "5" "1" "4" "5" "5" "5" "4" "4" "4" "4" "5" "1" "5" "4" "5"
## [37261] "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "4"
## [37279] "5" "4" "1" "5" "5" "5" "4" "4" "5" "4" "5" "5" "5" "1" "4" "5" "5" "5"
## [37297] "1" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "1" "4" "5" "1" "1" "4" "5"
## [37315] "5" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "1" "1" "5" "5" "5" "5"
## [37333] "5" "5" "1" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "1" "4" "5" "5" "5"
## [37351] "5" "5" "5" "5" "1" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5"
## [37369] "5" "5" "5" "4" "1" "5" "1" "4" "5" "4" "1" "5" "4" "5" "5" "5" "1" "5"
## [37387] "4" "5" "5" "5" "1" "4" "5" "5" "5" "4" "5" "5" "5" "4" "4" "5" "5" "5"
## [37405] "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "4" "5" "4" "1" "5" "5" "5"
## [37423] "5" "5" "5" "1" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5" "4" "5" "5" "4"
## [37441] "4" "5" "4" "5" "1" "1" "5" "5" "1" "5" "1" "5" "5" "1" "5" "5" "1" "5"
## [37459] "5" "1" "4" "5" "4" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5" "5" "5"
## [37477] "5" "5" "1" "5" "5" "5" "5" "4" "1" "4" "5" "5" "1" "5" "5" "1" "5" "5"
## [37495] "1" "4" "5" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "5" "4" "5" "5"
## [37513] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5"
## [37531] "4" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5"
## [37549] "4" "1" "5" "4" "5" "5" "1" "1" "4" "5" "1" "5" "4" "4" "1" "4" "5" "1"
## [37567] "4" "5" "5" "5" "5" "5" "4" "5" "5" "4" "4" "5" "1" "1" "4" "5" "4" "5"
## [37585] "5" "5" "4" "5" "5" "5" "5" "4" "4" "4" "1" "5" "5" "5" "5" "4" "4" "4"
## [37603] "1" "4" "5" "5" "1" "4" "1" "1" "1" "4" "5" "5" "4" "5" "1" "5" "4" "5"
## [37621] "1" "5" "5" "5" "4" "5" "1" "5" "4" "5" "1" "4" "5" "5" "5" "4" "5" "5"
## [37639] "1" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5"
## [37657] "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "4" "1" "5" "5" "5" "4" "5"
## [37675] "4" "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "5" "1" "4" "1" "4" "5" "1"
## [37693] "5" "5" "1" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "1" "4" "4" "5" "5"
## [37711] "5" "5" "5" "5" "5" "5" "4" "5" "4" "1" "5" "4" "4" "1" "5" "5" "5" "1"
## [37729] "1" "1" "5" "5" "1" "5" "1" "1" "4" "5" "5" "1" "1" "5" "5" "5" "5" "5"
## [37747] "1" "5" "5" "1" "4" "5" "4" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5"
## [37765] "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1"
## [37783] "5" "5" "4" "5" "1" "5" "4" "5" "5" "4" "1" "5" "1" "5" "5" "5" "5" "5"
## [37801] "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "4" "4" "4" "5"
## [37819] "5" "1" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [37837] "4" "1" "5" "5" "1" "4" "5" "4" "1" "5" "5" "1" "5" "4" "5" "5" "1" "5"
## [37855] "5" "5" "1" "1" "5" "4" "5" "5" "1" "4" "5" "4" "5" "5" "1" "5" "5" "5"
## [37873] "5" "5" "4" "1" "5" "5" "5" "5" "4" "5" "4" "5" "5" "4" "4" "4" "5" "5"
## [37891] "4" "1" "1" "5" "1" "4" "5" "4" "5" "4" "1" "4" "5" "1" "1" "5" "5" "4"
## [37909] "1" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4"
## [37927] "5" "5" "4" "4" "5" "4" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5"
## [37945] "5" "5" "1" "1" "5" "1" "4" "5" "1" "4" "4" "5" "4" "1" "4" "5" "5" "4"
## [37963] "4" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "5"
## [37981] "4" "5" "4" "4" "5" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "4" "4"
## [37999] "5" "5" "5" "4" "1" "5" "5" "1" "1" "5" "5" "1" "1" "5" "5" "5" "5" "4"
## [38017] "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "1" "5" "5" "5"
## [38035] "4" "4" "5" "1" "1" "1" "4" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "5"
## [38053] "5" "4" "5" "5" "5" "5" "4" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [38071] "5" "5" "1" "1" "5" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "4"
## [38089] "5" "1" "4" "4" "4" "5" "5" "5" "4" "5" "4" "5" "5" "5" "1" "5" "5" "5"
## [38107] "5" "5" "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "4" "1"
## [38125] "5" "4" "1" "4" "5" "5" "4" "5" "4" "4" "5" "4" "4" "5" "4" "5" "1" "5"
## [38143] "1" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "1" "1" "5" "5" "5"
## [38161] "5" "5" "5" "1" "4" "4" "4" "4" "4" "4" "5" "4" "4" "5" "1" "5" "4" "5"
## [38179] "4" "4" "1" "4" "5" "5" "5" "5" "4" "1" "5" "1" "4" "5" "5" "1" "5" "5"
## [38197] "5" "5" "5" "1" "1" "1" "5" "5" "4" "5" "5" "5" "1" "4" "5" "1" "5" "5"
## [38215] "5" "5" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5" "5" "4" "4" "5" "5"
## [38233] "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "4" "1" "5" "5" "5" "1" "1" "5"
## [38251] "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "5" "4" "5" "4" "5" "5" "5" "5"
## [38269] "5" "1" "1" "5" "5" "4" "5" "5" "4" "5" "5" "4" "4" "5" "5" "5" "4" "1"
## [38287] "5" "5" "5" "4" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "4"
## [38305] "1" "5" "5" "5" "5" "5" "4" "1" "1" "5" "5" "4" "1" "4" "5" "5" "5" "4"
## [38323] "4" "5" "4" "5" "1" "5" "5" "5" "5" "4" "4" "4" "5" "5" "5" "4" "5" "5"
## [38341] "4" "5" "5" "5" "4" "5" "5" "4" "4" "1" "5" "5" "5" "5" "5" "4" "1" "4"
## [38359] "5" "1" "5" "5" "1" "5" "1" "5" "1" "4" "5" "4" "1" "5" "4" "5" "5" "5"
## [38377] "5" "1" "5" "4" "5" "5" "5" "4" "4" "5" "5" "4" "5" "5" "1" "4" "1" "5"
## [38395] "5" "1" "5" "5" "1" "4" "1" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "4"
## [38413] "5" "5" "5" "5" "5" "5" "1" "1" "4" "5" "5" "5" "5" "1" "4" "5" "5" "5"
## [38431] "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5"
## [38449] "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "1" "4" "5" "5" "5" "1" "4"
## [38467] "1" "4" "5" "5" "5" "5" "5" "4" "1" "1" "4" "4" "4" "5" "5" "1" "5" "4"
## [38485] "5" "5" "5" "5" "5" "5" "1" "4" "5" "4" "5" "4" "5" "5" "5" "5" "4" "4"
## [38503] "5" "5" "5" "5" "1" "5" "5" "4" "1" "5" "5" "4" "4" "4" "1" "4" "5" "5"
## [38521] "5" "4" "5" "5" "5" "1" "5" "5" "5" "4" "1" "4" "5" "1" "4" "5" "4" "1"
## [38539] "4" "5" "5" "1" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "4" "1"
## [38557] "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "1" "5" "5" "5" "4" "5"
## [38575] "5" "5" "1" "5" "5" "1" "1" "5" "4" "5" "1" "5" "5" "1" "5" "5" "4" "5"
## [38593] "4" "5" "5" "4" "5" "1" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5"
## [38611] "5" "5" "4" "5" "4" "5" "1" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "4"
## [38629] "4" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "4" "1"
## [38647] "5" "5" "1" "5" "5" "5" "5" "4" "4" "4" "5" "5" "4" "4" "5" "5" "5" "1"
## [38665] "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "1" "4" "1" "5" "4" "5" "4"
## [38683] "5" "5" "5" "5" "4" "4" "1" "4" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5"
## [38701] "4" "1" "5" "5" "4" "5" "5" "5" "5" "4" "1" "1" "1" "5" "5" "4" "4" "4"
## [38719] "1" "5" "4" "5" "4" "1" "4" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "1"
## [38737] "4" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "1" "5"
## [38755] "5" "5" "5" "4" "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "1" "4" "5"
## [38773] "4" "5" "4" "5" "5" "5" "5" "4" "5" "5" "1" "4" "5" "5" "5" "1" "5" "4"
## [38791] "5" "5" "5" "5" "5" "1" "1" "5" "1" "1" "5" "5" "5" "4" "4" "5" "5" "5"
## [38809] "1" "5" "4" "5" "5" "1" "5" "5" "5" "4" "4" "5" "4" "1" "4" "5" "4" "5"
## [38827] "4" "1" "5" "4" "1" "5" "5" "5" "5" "5" "4" "4" "5" "1" "4" "4" "5" "1"
## [38845] "5" "4" "5" "5" "4" "4" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4"
## [38863] "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "1" "4" "1" "5" "5"
## [38881] "4" "4" "5" "5" "5" "4" "4" "4" "5" "4" "5" "5" "4" "5" "5" "1" "5" "5"
## [38899] "5" "5" "4" "1" "5" "5" "4" "4" "1" "5" "5" "4" "4" "5" "5" "5" "5" "4"
## [38917] "1" "1" "5" "5" "4" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "4"
## [38935] "5" "5" "1" "5" "5" "5" "4" "5" "4" "1" "4" "5" "5" "5" "5" "5" "4" "5"
## [38953] "4" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "1" "5"
## [38971] "1" "5" "5" "5" "4" "5" "5" "5" "1" "1" "1" "5" "5" "5" "1" "5" "5" "5"
## [38989] "4" "5" "5" "5" "5" "5" "4" "4" "5" "5" "1" "1" "5" "5" "4" "5" "4" "5"
## [39007] "5" "4" "4" "5" "5" "1" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [39025] "5" "5" "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [39043] "5" "5" "1" "5" "1" "5" "5" "5" "1" "4" "1" "5" "5" "1" "5" "4" "5" "1"
## [39061] "5" "5" "4" "1" "5" "1" "4" "5" "5" "4" "1" "5" "4" "5" "5" "5" "5" "4"
## [39079] "4" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "1" "1" "5" "5" "5"
## [39097] "1" "5" "5" "4" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "4" "1" "5" "1"
## [39115] "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "4" "4" "4"
## [39133] "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4"
## [39151] "4" "4" "5" "5" "1" "5" "5" "5" "5" "5" "4" "4" "1" "5" "4" "5" "4" "5"
## [39169] "5" "4" "5" "4" "4" "5" "5" "5" "5" "1" "4" "1" "4" "4" "4" "5" "1" "4"
## [39187] "5" "5" "5" "1" "5" "4" "1" "5" "5" "5" "5" "5" "1" "4" "5" "5" "4" "5"
## [39205] "4" "5" "4" "5" "5" "5" "4" "1" "4" "5" "4" "1" "1" "5" "1" "5" "1" "1"
## [39223] "5" "4" "5" "5" "1" "1" "5" "5" "5" "4" "5" "5" "5" "4" "4" "4" "5" "5"
## [39241] "5" "5" "5" "5" "1" "5" "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5"
## [39259] "5" "5" "4" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [39277] "4" "5" "4" "5" "5" "1" "5" "4" "5" "5" "5" "4" "5" "1" "1" "5" "5" "4"
## [39295] "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "1" "5" "4" "1" "5" "4" "5" "5"
## [39313] "5" "5" "5" "1" "4" "5" "5" "4" "4" "1" "5" "5" "5" "4" "5" "5" "5" "4"
## [39331] "5" "1" "5" "5" "5" "5" "5" "1" "4" "5" "5" "4" "5" "5" "4" "4" "1" "5"
## [39349] "5" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5"
## [39367] "1" "5" "1" "4" "1" "1" "1" "5" "4" "1" "5" "1" "5" "4" "5" "5" "1" "5"
## [39385] "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "1" "4" "5" "5" "4"
## [39403] "5" "5" "1" "5" "5" "5" "5" "5" "1" "4" "4" "5" "5" "1" "5" "4" "5" "5"
## [39421] "4" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4" "5" "5" "1" "4" "5" "4"
## [39439] "5" "1" "4" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5"
## [39457] "5" "5" "5" "4" "5" "5" "1" "5" "4" "5" "1" "5" "5" "1" "5" "5" "5" "5"
## [39475] "5" "5" "1" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4"
## [39493] "5" "5" "5" "5" "5" "4" "4" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5"
## [39511] "4" "5" "5" "5" "5" "5" "4" "5" "4" "1" "1" "5" "1" "4" "5" "1" "5" "4"
## [39529] "5" "1" "4" "1" "4" "1" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5"
## [39547] "1" "5" "1" "5" "4" "1" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5"
## [39565] "5" "5" "4" "5" "4" "4" "1" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [39583] "1" "5" "4" "1" "1" "5" "5" "5" "1" "4" "5" "5" "5" "5" "4" "5" "1" "5"
## [39601] "5" "5" "1" "5" "5" "5" "5" "1" "4" "5" "4" "5" "5" "5" "5" "4" "5" "5"
## [39619] "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5"
## [39637] "5" "5" "4" "4" "5" "4" "5" "5" "5" "1" "1" "1" "5" "5" "5" "5" "5" "5"
## [39655] "5" "1" "5" "5" "5" "4" "5" "4" "1" "5" "1" "5" "1" "5" "5" "5" "5" "4"
## [39673] "5" "5" "5" "1" "5" "1" "4" "5" "5" "5" "4" "5" "5" "1" "5" "1" "5" "4"
## [39691] "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "1" "5" "4" "5"
## [39709] "5" "5" "4" "5" "1" "5" "5" "5" "4" "1" "5" "4" "4" "5" "5" "1" "4" "4"
## [39727] "5" "4" "1" "5" "1" "1" "5" "5" "5" "5" "1" "5" "4" "4" "5" "5" "5" "5"
## [39745] "5" "5" "1" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1"
## [39763] "4" "4" "5" "5" "5" "1" "5" "5" "1" "1" "4" "4" "1" "5" "4" "1" "5" "5"
## [39781] "5" "5" "1" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "4"
## [39799] "4" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [39817] "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [39835] "4" "5" "5" "4" "1" "5" "5" "5" "1" "5" "5" "4" "5" "1" "1" "5" "4" "1"
## [39853] "5" "4" "5" "1" "5" "1" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "1" "4"
## [39871] "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [39889] "5" "5" "4" "1" "5" "4" "4" "4" "5" "5" "4" "5" "5" "1" "5" "1" "5" "5"
## [39907] "5" "5" "4" "4" "4" "5" "5" "1" "4" "4" "4" "4" "5" "4" "5" "5" "5" "5"
## [39925] "5" "4" "4" "5" "5" "5" "1" "1" "4" "5" "1" "5" "5" "1" "5" "5" "4" "1"
## [39943] "1" "5" "5" "5" "5" "4" "4" "4" "5" "1" "4" "4" "5" "4" "4" "5" "4" "1"
## [39961] "5" "5" "5" "5" "5" "4" "4" "5" "5" "4" "4" "1" "4" "5" "4" "5" "5" "1"
## [39979] "5" "5" "4" "5" "4" "5" "1" "5" "1" "5" "5" "5" "4" "1" "5" "4" "4" "5"
## [39997] "5" "5" "4" "4" "1" "5" "1" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "4"
## [40015] "5" "4" "1" "4" "1" "1" "5" "4" "5" "5" "4" "4" "5" "5" "5" "4" "5" "1"
## [40033] "5" "5" "5" "4" "5" "5" "1" "4" "4" "4" "5" "5" "4" "5" "4" "5" "5" "5"
## [40051] "1" "5" "5" "4" "5" "1" "5" "4" "5" "5" "4" "4" "5" "5" "5" "4" "1" "4"
## [40069] "1" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "1" "1" "5" "4" "4" "5" "5"
## [40087] "5" "1" "1" "5" "5" "4" "4" "4" "5" "5" "1" "5" "1" "5" "1" "5" "5" "5"
## [40105] "5" "5" "5" "5" "1" "5" "4" "4" "4" "4" "4" "5" "1" "4" "5" "1" "1" "1"
## [40123] "5" "4" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5"
## [40141] "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "1" "4" "5" "5" "5" "4" "1"
## [40159] "1" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "1"
## [40177] "4" "5" "1" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4"
## [40195] "1" "1" "5" "1" "5" "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "1" "5" "4"
## [40213] "5" "4" "5" "5" "5" "4" "5" "4" "4" "4" "5" "5" "5" "5" "5" "1" "1" "5"
## [40231] "1" "5" "5" "5" "1" "4" "4" "4" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [40249] "5" "5" "5" "4" "1" "4" "1" "5" "4" "1" "1" "4" "1" "1" "4" "4" "1" "5"
## [40267] "4" "4" "5" "4" "5" "4" "5" "4" "5" "4" "1" "5" "5" "4" "4" "5" "5" "5"
## [40285] "1" "5" "5" "4" "5" "5" "4" "5" "1" "1" "5" "4" "5" "5" "5" "5" "5" "5"
## [40303] "5" "5" "1" "4" "4" "4" "5" "5" "5" "5" "5" "5" "1" "1" "4" "5" "4" "5"
## [40321] "5" "5" "1" "5" "5" "4" "4" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5"
## [40339] "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "4" "4"
## [40357] "5" "5" "1" "5" "5" "5" "4" "1" "5" "1" "4" "4" "4" "5" "5" "4" "5" "1"
## [40375] "5" "5" "5" "1" "5" "5" "4" "4" "5" "4" "4" "4" "5" "5" "1" "5" "5" "5"
## [40393] "1" "5" "4" "5" "5" "1" "1" "5" "5" "5" "5" "5" "4" "5" "4" "1" "4" "5"
## [40411] "4" "5" "5" "4" "5" "5" "1" "1" "5" "5" "5" "1" "4" "5" "5" "5" "1" "1"
## [40429] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "4" "5" "4" "5" "5"
## [40447] "1" "5" "5" "5" "4" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "4" "1" "4"
## [40465] "4" "5" "1" "5" "4" "5" "5" "5" "5" "4" "4" "5" "4" "5" "1" "5" "5" "1"
## [40483] "5" "1" "5" "4" "4" "5" "5" "1" "4" "5" "5" "4" "1" "4" "5" "5" "5" "4"
## [40501] "5" "1" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "5" "5" "4" "5" "5" "1"
## [40519] "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5"
## [40537] "5" "4" "5" "5" "5" "5" "5" "4" "4" "4" "4" "1" "1" "5" "1" "5" "5" "5"
## [40555] "5" "5" "4" "5" "1" "5" "1" "4" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5"
## [40573] "5" "4" "1" "1" "1" "5" "4" "5" "4" "1" "5" "4" "5" "5" "5" "4" "5" "5"
## [40591] "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "4" "4" "1" "5" "4" "5" "4" "5"
## [40609] "4" "5" "1" "5" "4" "5" "1" "5" "5" "4" "4" "1" "1" "5" "1" "5" "4" "1"
## [40627] "4" "5" "5" "5" "5" "4" "4" "4" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5"
## [40645] "5" "1" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "1" "1" "4" "5" "5" "5"
## [40663] "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "4" "5" "5" "1" "4" "5"
## [40681] "5" "4" "5" "5" "1" "5" "5" "1" "1" "5" "1" "4" "5" "5" "5" "4" "5" "5"
## [40699] "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1"
## [40717] "4" "5" "5" "5" "5" "5" "4" "1" "5" "5" "4" "4" "5" "5" "5" "4" "1" "4"
## [40735] "5" "5" "5" "5" "5" "5" "4" "1" "4" "5" "1" "5" "5" "1" "5" "5" "1" "1"
## [40753] "5" "1" "5" "5" "1" "4" "4" "5" "5" "1" "5" "5" "1" "5" "5" "5" "5" "4"
## [40771] "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "4" "5" "1"
## [40789] "5" "5" "4" "5" "5" "1" "5" "5" "5" "4" "5" "1" "4" "5" "5" "1" "1" "4"
## [40807] "4" "5" "1" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "4" "5" "1" "5" "5"
## [40825] "5" "1" "5" "5" "5" "1" "1" "4" "5" "5" "1" "1" "4" "4" "4" "1" "5" "4"
## [40843] "5" "5" "1" "1" "1" "5" "1" "1" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5"
## [40861] "4" "5" "5" "4" "1" "1" "5" "1" "5" "4" "5" "5" "5" "4" "5" "5" "5" "4"
## [40879] "5" "5" "5" "4" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "4" "1"
## [40897] "5" "5" "4" "1" "4" "5" "5" "5" "5" "5" "1" "1" "5" "5" "4" "4" "4" "5"
## [40915] "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5"
## [40933] "5" "5" "4" "5" "4" "4" "5" "4" "5" "5" "1" "5" "4" "4" "5" "4" "5" "5"
## [40951] "5" "4" "1" "5" "5" "4" "4" "1" "5" "5" "5" "5" "4" "1" "1" "1" "1" "5"
## [40969] "5" "5" "5" "5" "5" "5" "4" "5" "4" "1" "5" "1" "5" "1" "5" "5" "5" "5"
## [40987] "4" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4"
## [41005] "5" "4" "5" "5" "5" "5" "4" "4" "5" "1" "1" "4" "5" "5" "1" "5" "1" "5"
## [41023] "5" "4" "5" "1" "5" "5" "1" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5"
## [41041] "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "1" "5" "4" "1" "5" "5"
## [41059] "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "1" "1" "5"
## [41077] "5" "4" "5" "5" "5" "1" "4" "5" "5" "1" "1" "1" "5" "1" "5" "4" "5" "1"
## [41095] "5" "5" "4" "4" "5" "1" "4" "1" "5" "4" "5" "5" "4" "4" "4" "1" "5" "4"
## [41113] "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5" "5" "5"
## [41131] "5" "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "1" "5" "5" "1" "5" "1" "1"
## [41149] "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "4" "4" "5" "5" "5" "5" "5"
## [41167] "4" "5" "1" "1" "5" "4" "1" "5" "1" "1" "5" "5" "5" "4" "5" "4" "5" "5"
## [41185] "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "1" "1" "5"
## [41203] "4" "1" "1" "1" "1" "5" "5" "1" "5" "5" "4" "5" "5" "1" "5" "4" "1" "5"
## [41221] "1" "4" "5" "5" "4" "5" "5" "5" "4" "5" "4" "1" "1" "5" "5" "5" "5" "5"
## [41239] "5" "4" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5"
## [41257] "1" "5" "5" "1" "5" "5" "1" "1" "1" "1" "5" "5" "1" "4" "5" "1" "5" "4"
## [41275] "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "4" "5" "5"
## [41293] "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "1" "4" "4" "5" "5" "5"
## [41311] "5" "5" "4" "5" "4" "1" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4" "4" "4"
## [41329] "5" "5" "1" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5"
## [41347] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "4"
## [41365] "5" "5" "4" "5" "5" "1" "4" "5" "5" "5" "1" "1" "1" "5" "5" "5" "1" "5"
## [41383] "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5" "1" "5"
## [41401] "4" "5" "5" "4" "5" "5" "5" "1" "5" "4" "4" "5" "1" "5" "4" "5" "1" "5"
## [41419] "5" "5" "5" "1" "5" "5" "1" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5"
## [41437] "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [41455] "5" "5" "5" "5" "5" "1" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [41473] "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5"
## [41491] "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "4" "1" "5" "4" "4" "5" "5"
## [41509] "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "1" "1" "4" "5" "5" "5" "5"
## [41527] "5" "5" "1" "5" "4" "4" "5" "5" "5" "4" "4" "4" "4" "5" "5" "5" "5" "4"
## [41545] "4" "5" "4" "5" "4" "1" "5" "5" "1" "4" "1" "5" "5" "5" "4" "1" "5" "5"
## [41563] "5" "4" "4" "5" "5" "4" "4" "5" "4" "5" "5" "5" "1" "5" "1" "5" "4" "5"
## [41581] "4" "5" "4" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "4" "4" "5"
## [41599] "5" "4" "5" "5" "5" "1" "1" "4" "5" "5" "5" "4" "4" "1" "1" "5" "5" "5"
## [41617] "5" "4" "1" "5" "4" "5" "5" "5" "5" "1" "5" "4" "5" "1" "1" "4" "1" "4"
## [41635] "5" "5" "5" "4" "5" "4" "5" "1" "4" "5" "5" "5" "1" "4" "5" "5" "5" "5"
## [41653] "5" "4" "5" "1" "5" "5" "1" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "1"
## [41671] "1" "4" "4" "5" "5" "5" "5" "5" "1" "5" "4" "1" "5" "5" "1" "5" "1" "5"
## [41689] "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [41707] "4" "5" "1" "1" "4" "4" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5"
## [41725] "5" "1" "5" "1" "5" "4" "5" "4" "1" "5" "5" "4" "5" "4" "1" "4" "5" "5"
## [41743] "4" "4" "4" "5" "5" "5" "1" "1" "5" "4" "4" "5" "1" "5" "5" "5" "5" "5"
## [41761] "5" "5" "5" "5" "1" "4" "5" "5" "4" "4" "5" "5" "5" "5" "5" "1" "5" "4"
## [41779] "5" "1" "1" "5" "5" "5" "4" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [41797] "5" "4" "4" "1" "5" "1" "5" "5" "4" "1" "5" "1" "4" "5" "1" "4" "5" "5"
## [41815] "5" "5" "5" "1" "5" "4" "5" "5" "1" "1" "5" "5" "5" "4" "5" "5" "5" "5"
## [41833] "1" "4" "5" "4" "5" "5" "4" "1" "5" "5" "5" "1" "5" "5" "4" "5" "4" "4"
## [41851] "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "1" "5" "1"
## [41869] "5" "4" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "4" "1"
## [41887] "4" "4" "5" "5" "4" "5" "1" "5" "1" "5" "1" "1" "5" "1" "5" "1" "4" "4"
## [41905] "5" "5" "4" "1" "5" "4" "5" "1" "5" "4" "4" "5" "5" "1" "5" "5" "4" "4"
## [41923] "5" "4" "5" "5" "5" "1" "5" "5" "4" "4" "5" "5" "1" "5" "5" "5" "5" "4"
## [41941] "5" "5" "4" "5" "4" "5" "5" "1" "4" "5" "5" "4" "4" "5" "5" "4" "5" "1"
## [41959] "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "5" "4"
## [41977] "5" "5" "5" "4" "5" "1" "5" "5" "1" "5" "4" "5" "5" "4" "4" "4" "1" "5"
## [41995] "5" "5" "4" "1" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "4"
## [42013] "5" "1" "4" "5" "5" "4" "4" "5" "5" "4" "1" "4" "4" "5" "5" "1" "1" "4"
## [42031] "1" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "4" "5"
## [42049] "5" "1" "4" "5" "4" "1" "5" "5" "1" "1" "5" "5" "5" "4" "1" "1" "5" "4"
## [42067] "1" "5" "1" "1" "5" "5" "1" "4" "5" "5" "5" "1" "4" "4" "1" "1" "5" "5"
## [42085] "1" "5" "4" "5" "5" "5" "5" "5" "4" "4" "5" "4" "5" "4" "5" "4" "4" "5"
## [42103] "1" "1" "1" "5" "5" "1" "1" "4" "1" "5" "4" "4" "1" "5" "5" "1" "1" "5"
## [42121] "4" "1" "4" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [42139] "4" "1" "5" "4" "5" "5" "4" "4" "1" "5" "4" "4" "5" "5" "1" "1" "1" "5"
## [42157] "5" "4" "5" "5" "4" "1" "5" "5" "5" "4" "5" "4" "1" "4" "4" "5" "5" "5"
## [42175] "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "4" "5" "1" "5" "5" "5"
## [42193] "5" "1" "5" "1" "5" "1" "1" "5" "5" "1" "5" "5" "5" "5" "4" "5" "4" "1"
## [42211] "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "1" "5" "4" "4" "5" "5" "5"
## [42229] "4" "5" "5" "4" "5" "5" "4" "5" "5" "1" "5" "4" "5" "4" "1" "5" "5" "5"
## [42247] "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4"
## [42265] "4" "5" "5" "4" "4" "4" "5" "4" "1" "5" "5" "5" "5" "5" "4" "4" "5" "5"
## [42283] "4" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "4"
## [42301] "4" "5" "5" "5" "1" "5" "1" "5" "5" "5" "1" "5" "5" "5" "4" "4" "5" "5"
## [42319] "5" "5" "5" "5" "5" "5" "1" "5" "4" "1" "5" "5" "5" "1" "1" "4" "5" "5"
## [42337] "5" "5" "4" "4" "5" "5" "1" "1" "5" "4" "1" "5" "4" "5" "4" "4" "5" "5"
## [42355] "5" "1" "5" "5" "5" "1" "5" "4" "4" "5" "5" "1" "5" "5" "5" "5" "4" "1"
## [42373] "5" "1" "5" "1" "5" "1" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5"
## [42391] "5" "5" "4" "1" "5" "4" "5" "5" "5" "5" "5" "1" "1" "5" "1" "1" "4" "4"
## [42409] "5" "5" "1" "5" "1" "1" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "1"
## [42427] "5" "5" "5" "5" "5" "4" "4" "5" "5" "4" "5" "1" "4" "4" "5" "5" "1" "1"
## [42445] "5" "5" "5" "1" "5" "5" "5" "5" "4" "4" "5" "5" "1" "1" "5" "4" "1" "5"
## [42463] "1" "1" "4" "4" "4" "1" "5" "4" "4" "5" "5" "5" "5" "4" "5" "4" "5" "1"
## [42481] "5" "5" "5" "5" "4" "5" "5" "1" "1" "4" "1" "5" "5" "4" "5" "4" "5" "5"
## [42499] "4" "4" "5" "5" "1" "5" "5" "5" "1" "5" "4" "5" "5" "1" "5" "5" "5" "1"
## [42517] "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "1" "5" "5" "5" "5"
## [42535] "5" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [42553] "5" "1" "5" "5" "5" "4" "4" "4" "1" "5" "5" "5" "5" "5" "1" "4" "4" "5"
## [42571] "1" "5" "5" "4" "5" "5" "4" "5" "5" "4" "1" "1" "5" "1" "5" "5" "5" "4"
## [42589] "5" "4" "4" "1" "5" "5" "4" "1" "1" "5" "4" "5" "4" "5" "1" "4" "1" "5"
## [42607] "5" "4" "5" "4" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "4" "5" "5" "5"
## [42625] "1" "5" "4" "5" "5" "5" "5" "4" "5" "4" "5" "1" "5" "5" "4" "1" "1" "1"
## [42643] "5" "5" "4" "5" "5" "1" "5" "5" "5" "4" "1" "5" "5" "4" "4" "5" "5" "5"
## [42661] "4" "5" "1" "4" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4"
## [42679] "4" "4" "5" "5" "5" "1" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "1" "5"
## [42697] "1" "5" "5" "1" "5" "4" "4" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "1"
## [42715] "5" "4" "4" "4" "1" "4" "1" "5" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5"
## [42733] "4" "5" "5" "1" "5" "5" "4" "5" "5" "4" "5" "4" "5" "1" "4" "4" "5" "5"
## [42751] "5" "5" "5" "5" "5" "5" "4" "5" "1" "4" "5" "5" "1" "1" "5" "5" "4" "4"
## [42769] "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "1" "1" "1" "5"
## [42787] "5" "1" "5" "5" "1" "4" "1" "5" "5" "1" "1" "5" "5" "4" "5" "5" "4" "4"
## [42805] "4" "1" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5" "4" "5"
## [42823] "5" "4" "5" "5" "4" "5" "1" "5" "5" "4" "4" "5" "4" "4" "5" "5" "5" "4"
## [42841] "5" "5" "5" "5" "5" "5" "5" "1" "1" "4" "5" "4" "5" "1" "5" "5" "5" "5"
## [42859] "5" "4" "5" "4" "4" "1" "4" "5" "1" "1" "5" "1" "5" "1" "5" "5" "5" "5"
## [42877] "5" "4" "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "4" "1" "4" "5" "4" "5"
## [42895] "5" "4" "5" "4" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [42913] "4" "4" "5" "1" "4" "1" "4" "5" "5" "5" "4" "5" "5" "5" "5" "1" "1" "5"
## [42931] "5" "5" "1" "5" "5" "5" "4" "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5"
## [42949] "5" "4" "5" "4" "1" "5" "4" "1" "1" "5" "5" "5" "5" "4" "4" "5" "5" "5"
## [42967] "5" "5" "5" "5" "1" "5" "5" "4" "4" "1" "5" "1" "1" "5" "5" "4" "4" "5"
## [42985] "4" "5" "4" "4" "5" "5" "5" "1" "5" "4" "1" "5" "4" "5" "5" "1" "4" "1"
## [43003] "5" "1" "5" "5" "1" "1" "5" "1" "5" "5" "5" "5" "4" "5" "4" "1" "1" "5"
## [43021] "4" "5" "4" "5" "5" "5" "5" "5" "4" "1" "5" "4" "5" "4" "5" "5" "5" "5"
## [43039] "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5"
## [43057] "5" "5" "4" "5" "5" "4" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1"
## [43075] "4" "5" "5" "5" "4" "5" "5" "4" "1" "4" "5" "1" "5" "5" "5" "4" "5" "5"
## [43093] "4" "4" "4" "4" "5" "5" "4" "1" "5" "5" "5" "1" "5" "5" "4" "4" "4" "5"
## [43111] "1" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [43129] "5" "4" "5" "1" "4" "1" "5" "5" "5" "4" "5" "1" "5" "1" "4" "1" "5" "4"
## [43147] "4" "5" "5" "4" "1" "4" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "4"
## [43165] "5" "4" "5" "5" "4" "5" "5" "5" "1" "5" "1" "5" "1" "4" "4" "4" "5" "1"
## [43183] "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "1" "1" "5" "4" "5" "1" "4" "5"
## [43201] "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5"
## [43219] "5" "1" "5" "5" "1" "4" "1" "5" "5" "4" "4" "4" "1" "5" "5" "5" "5" "5"
## [43237] "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "1" "5" "4" "1" "5" "1" "4" "4"
## [43255] "4" "4" "4" "5" "5" "5" "5" "4" "1" "5" "1" "5" "5" "4" "4" "4" "1" "4"
## [43273] "5" "5" "5" "5" "5" "5" "4" "5" "1" "1" "4" "4" "4" "1" "5" "1" "4" "5"
## [43291] "4" "4" "1" "4" "5" "1" "4" "5" "4" "5" "5" "4" "5" "4" "5" "1" "4" "1"
## [43309] "5" "1" "1" "5" "5" "4" "4" "5" "5" "4" "4" "1" "1" "1" "1" "5" "5" "5"
## [43327] "5" "1" "5" "1" "4" "5" "4" "5" "4" "5" "1" "4" "5" "5" "1" "5" "5" "5"
## [43345] "5" "5" "1" "1" "4" "5" "5" "5" "5" "1" "5" "4" "5" "1" "5" "5" "5" "5"
## [43363] "4" "4" "1" "4" "4" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4" "5"
## [43381] "5" "4" "5" "1" "4" "5" "4" "4" "5" "1" "4" "5" "5" "1" "1" "5" "5" "4"
## [43399] "5" "1" "4" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "1" "1" "1" "5"
## [43417] "1" "5" "1" "5" "1" "5" "5" "5" "1" "4" "1" "1" "5" "5" "5" "5" "1" "5"
## [43435] "5" "4" "5" "5" "5" "4" "5" "4" "4" "5" "5" "5" "1" "5" "4" "4" "5" "5"
## [43453] "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "4" "5"
## [43471] "5" "5" "5" "5" "5" "4" "1" "4" "5" "5" "4" "5" "4" "1" "4" "5" "4" "5"
## [43489] "5" "4" "5" "4" "5" "5" "1" "5" "5" "5" "4" "5" "4" "4" "4" "5" "1" "5"
## [43507] "4" "5" "5" "5" "1" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "1"
## [43525] "4" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "1" "1" "5" "1" "5"
## [43543] "5" "5" "1" "4" "5" "4" "4" "1" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5"
## [43561] "5" "4" "5" "1" "5" "1" "5" "1" "5" "5" "1" "5" "1" "5" "4" "5" "4" "5"
## [43579] "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [43597] "5" "4" "1" "4" "5" "5" "5" "5" "4" "4" "5" "5" "5" "1" "4" "5" "4" "5"
## [43615] "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "4" "1" "5" "5" "5" "1" "5"
## [43633] "5" "4" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5"
## [43651] "5" "1" "5" "5" "5" "5" "5" "5" "1" "1" "1" "1" "4" "4" "4" "1" "5" "1"
## [43669] "5" "5" "4" "1" "4" "4" "4" "4" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [43687] "5" "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "1" "1"
## [43705] "5" "4" "5" "1" "4" "5" "5" "1" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5"
## [43723] "4" "5" "4" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [43741] "4" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5"
## [43759] "5" "5" "5" "5" "5" "5" "4" "1" "1" "5" "1" "4" "5" "1" "5" "5" "5" "5"
## [43777] "5" "5" "5" "5" "1" "1" "4" "5" "5" "5" "5" "5" "4" "1" "5" "4" "5" "4"
## [43795] "1" "4" "5" "5" "4" "4" "4" "5" "5" "4" "4" "4" "1" "4" "4" "1" "5" "5"
## [43813] "1" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "4" "5" "1" "4" "4" "5" "4"
## [43831] "5" "1" "5" "5" "5" "5" "5" "4" "1" "5" "5" "1" "4" "5" "5" "5" "1" "5"
## [43849] "5" "5" "1" "5" "5" "4" "5" "5" "5" "1" "5" "4" "5" "4" "5" "5" "5" "5"
## [43867] "5" "4" "5" "4" "5" "5" "4" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [43885] "5" "5" "5" "4" "5" "5" "5" "1" "5" "4" "5" "1" "5" "5" "5" "4" "5" "5"
## [43903] "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "1" "5" "5" "5" "4"
## [43921] "4" "5" "5" "5" "4" "4" "4" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [43939] "5" "4" "4" "4" "1" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "4" "1"
## [43957] "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5"
## [43975] "4" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "5" "5" "1" "5" "1" "5" "4"
## [43993] "5" "4" "4" "5" "4" "5" "4" "4" "5" "4" "5" "1" "1" "4" "5" "5" "5" "5"
## [44011] "1" "5" "5" "5" "1" "1" "5" "4" "5" "5" "5" "4" "5" "5" "4" "4" "5" "4"
## [44029] "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "4" "5" "1" "5"
## [44047] "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5"
## [44065] "5" "4" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5" "1" "5" "5" "5" "4" "5"
## [44083] "5" "4" "4" "4" "5" "1" "4" "5" "5" "5" "4" "1" "5" "5" "5" "5" "4" "5"
## [44101] "1" "5" "5" "5" "5" "4" "1" "4" "1" "5" "1" "5" "5" "5" "4" "4" "5" "4"
## [44119] "5" "5" "4" "1" "5" "5" "4" "1" "1" "4" "5" "4" "5" "4" "4" "5" "5" "5"
## [44137] "4" "5" "5" "1" "5" "5" "5" "5" "4" "5" "4" "5" "5" "4" "4" "5" "5" "5"
## [44155] "5" "1" "5" "1" "5" "5" "5" "4" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [44173] "4" "5" "5" "5" "5" "4" "5" "4" "5" "1" "5" "1" "1" "5" "1" "1" "1" "5"
## [44191] "1" "4" "4" "1" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "5"
## [44209] "5" "5" "4" "5" "4" "5" "5" "4" "4" "5" "5" "5" "4" "1" "1" "5" "4" "5"
## [44227] "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5"
## [44245] "5" "4" "5" "4" "5" "5" "5" "5" "1" "1" "1" "5" "5" "5" "5" "4" "1" "4"
## [44263] "5" "1" "4" "4" "1" "5" "5" "1" "4" "1" "1" "5" "1" "5" "5" "5" "5" "4"
## [44281] "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5"
## [44299] "5" "5" "4" "4" "5" "5" "5" "4" "5" "5" "1" "5" "4" "5" "1" "5" "5" "4"
## [44317] "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "1" "5" "5" "5" "5" "5" "5" "4"
## [44335] "5" "5" "5" "4" "1" "5" "5" "4" "5" "5" "1" "5" "4" "5" "1" "1" "5" "5"
## [44353] "1" "4" "4" "5" "5" "5" "1" "5" "5" "1" "5" "4" "1" "5" "1" "1" "5" "4"
## [44371] "5" "4" "4" "5" "5" "1" "5" "5" "5" "4" "4" "4" "5" "5" "5" "1" "1" "1"
## [44389] "4" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5"
## [44407] "4" "5" "5" "5" "5" "1" "4" "5" "5" "4" "5" "5" "1" "4" "4" "5" "1" "5"
## [44425] "1" "4" "5" "5" "5" "4" "1" "4" "1" "5" "5" "5" "5" "1" "4" "1" "1" "5"
## [44443] "4" "5" "5" "4" "5" "1" "4" "5" "5" "4" "5" "4" "4" "5" "4" "5" "1" "1"
## [44461] "5" "5" "4" "4" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "4" "5" "5" "1"
## [44479] "5" "5" "1" "1" "1" "1" "5" "4" "4" "1" "1" "5" "1" "5" "5" "5" "5" "1"
## [44497] "5" "1" "5" "5" "1" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "1" "4" "5"
## [44515] "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "1" "4" "4" "5" "4" "1" "4" "5"
## [44533] "5" "4" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "4" "1" "1" "5" "5" "4"
## [44551] "4" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "1" "5" "1" "5" "4" "5" "5"
## [44569] "5" "5" "5" "5" "5" "4" "4" "4" "1" "5" "5" "4" "5" "4" "1" "4" "5" "5"
## [44587] "5" "1" "5" "5" "5" "5" "4" "5" "1" "5" "4" "1" "5" "5" "5" "5" "5" "4"
## [44605] "4" "4" "4" "5" "5" "1" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [44623] "5" "5" "5" "5" "5" "1" "1" "4" "5" "5" "4" "5" "1" "5" "4" "5" "5" "1"
## [44641] "4" "5" "1" "1" "1" "1" "5" "1" "5" "1" "5" "5" "5" "4" "5" "4" "5" "5"
## [44659] "5" "4" "4" "1" "4" "1" "1" "5" "5" "5" "4" "5" "5" "4" "5" "5" "1" "5"
## [44677] "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5"
## [44695] "1" "5" "5" "5" "5" "1" "5" "5" "5" "4" "4" "5" "5" "4" "5" "1" "5" "5"
## [44713] "4" "5" "4" "5" "1" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "4" "5"
## [44731] "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "4" "5" "4" "4" "5" "5"
## [44749] "1" "5" "5" "5" "5" "5" "1" "4" "1" "4" "5" "4" "4" "5" "1" "1" "1" "4"
## [44767] "4" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "1"
## [44785] "5" "5" "5" "5" "4" "4" "1" "5" "5" "1" "4" "5" "5" "5" "5" "5" "4" "5"
## [44803] "5" "4" "4" "5" "5" "1" "5" "4" "5" "5" "1" "5" "1" "5" "5" "5" "5" "4"
## [44821] "5" "4" "1" "5" "5" "1" "5" "5" "5" "5" "5" "4" "4" "5" "4" "5" "5" "5"
## [44839] "5" "5" "5" "1" "5" "5" "5" "5" "1" "1" "5" "5" "1" "4" "5" "4" "5" "1"
## [44857] "5" "1" "5" "1" "5" "1" "1" "5" "4" "5" "5" "5" "5" "5" "4" "1" "1" "5"
## [44875] "4" "5" "5" "4" "1" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5"
## [44893] "5" "1" "5" "5" "4" "5" "5" "5" "1" "5" "5" "4" "4" "4" "4" "4" "1" "1"
## [44911] "5" "1" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "4" "4" "5" "5"
## [44929] "5" "1" "5" "4" "5" "5" "5" "1" "4" "5" "5" "5" "4" "5" "4" "5" "5" "4"
## [44947] "5" "5" "5" "1" "4" "1" "5" "5" "5" "5" "5" "4" "4" "4" "5" "4" "5" "5"
## [44965] "1" "1" "4" "4" "5" "5" "5" "5" "5" "5" "1" "1" "4" "4" "5" "1" "5" "5"
## [44983] "1" "5" "1" "5" "5" "4" "4" "5" "5" "1" "5" "4" "1" "4" "5" "5" "1" "5"
## [45001] "4" "5" "5" "4" "5" "1" "5" "4" "4" "4" "5" "4" "4" "5" "4" "5" "1" "4"
## [45019] "5" "4" "4" "1" "4" "4" "5" "5" "5" "5" "5" "4" "4" "1" "4" "5" "4" "1"
## [45037] "5" "4" "5" "5" "5" "5" "4" "1" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5"
## [45055] "5" "5" "1" "4" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5"
## [45073] "5" "5" "1" "5" "1" "5" "4" "5" "5" "5" "5" "1" "5" "1" "5" "1" "1" "5"
## [45091] "5" "5" "5" "4" "5" "4" "1" "4" "5" "5" "5" "4" "4" "4" "5" "5" "5" "5"
## [45109] "5" "5" "1" "5" "1" "5" "1" "4" "5" "1" "4" "5" "4" "4" "5" "5" "5" "5"
## [45127] "4" "5" "5" "4" "5" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "5" "4" "5"
## [45145] "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "5" "4" "5" "4"
## [45163] "1" "5" "4" "5" "1" "4" "1" "4" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5"
## [45181] "5" "4" "1" "5" "1" "1" "5" "5" "1" "5" "4" "5" "1" "5" "5" "4" "5" "5"
## [45199] "5" "5" "5" "5" "4" "4" "5" "5" "1" "5" "4" "1" "5" "4" "5" "1" "5" "5"
## [45217] "5" "5" "5" "4" "1" "4" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1"
## [45235] "1" "4" "4" "4" "5" "5" "5" "5" "5" "1" "5" "5" "1" "1" "1" "5" "1" "5"
## [45253] "5" "5" "5" "5" "4" "5" "4" "1" "4" "4" "5" "5" "4" "5" "1" "5" "5" "5"
## [45271] "4" "5" "5" "4" "1" "5" "1" "4" "5" "1" "5" "4" "4" "4" "5" "5" "5" "5"
## [45289] "1" "1" "5" "5" "5" "4" "5" "1" "5" "1" "4" "5" "4" "4" "1" "4" "1" "4"
## [45307] "1" "1" "4" "5" "5" "5" "4" "1" "4" "5" "4" "1" "4" "1" "5" "5" "5" "1"
## [45325] "5" "4" "4" "5" "5" "1" "5" "5" "5" "4" "5" "4" "4" "5" "1" "5" "4" "4"
## [45343] "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "1" "1" "4" "5" "5" "5" "5" "4"
## [45361] "4" "5" "5" "5" "1" "5" "1" "4" "4" "4" "5" "1" "5" "5" "4" "5" "5" "1"
## [45379] "5" "4" "5" "1" "5" "4" "5" "4" "5" "5" "5" "1" "5" "4" "4" "1" "5" "5"
## [45397] "5" "1" "5" "4" "5" "5" "5" "4" "5" "1" "1" "1" "1" "5" "5" "5" "5" "5"
## [45415] "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "1" "1" "5" "5" "5" "5" "4"
## [45433] "5" "4" "5" "5" "5" "5" "4" "5" "4" "4" "5" "5" "5" "5" "5" "4" "5" "5"
## [45451] "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "1" "4" "1" "4" "4"
## [45469] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5"
## [45487] "5" "5" "4" "4" "4" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "4" "5" "1"
## [45505] "5" "1" "5" "4" "4" "4" "5" "4" "1" "5" "1" "1" "5" "5" "5" "5" "1" "5"
## [45523] "4" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "4" "4" "5" "5" "4"
## [45541] "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "4" "1" "5" "4" "5" "1" "5" "1"
## [45559] "5" "5" "5" "5" "5" "5" "1" "1" "5" "5" "4" "5" "1" "1" "5" "4" "5" "5"
## [45577] "1" "5" "5" "5" "5" "5" "4" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "1"
## [45595] "4" "5" "5" "4" "5" "1" "4" "1" "5" "1" "1" "5" "5" "4" "5" "4" "1" "1"
## [45613] "5" "1" "5" "5" "5" "4" "4" "5" "4" "4" "5" "1" "5" "5" "4" "5" "5" "5"
## [45631] "4" "4" "4" "5" "4" "5" "5" "1" "1" "4" "5" "5" "5" "5" "4" "5" "5" "4"
## [45649] "1" "5" "5" "4" "1" "5" "5" "5" "4" "4" "5" "1" "1" "5" "5" "5" "5" "1"
## [45667] "5" "5" "1" "4" "5" "5" "4" "4" "1" "5" "1" "1" "1" "5" "5" "4" "5" "5"
## [45685] "4" "4" "5" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5"
## [45703] "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "4" "4" "4" "5" "5"
## [45721] "5" "5" "5" "5" "1" "5" "4" "5" "1" "1" "5" "1" "4" "5" "4" "5" "5" "5"
## [45739] "5" "1" "5" "1" "4" "5" "1" "5" "4" "5" "5" "5" "5" "4" "4" "5" "5" "5"
## [45757] "5" "4" "1" "1" "4" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5"
## [45775] "5" "5" "4" "1" "5" "1" "5" "5" "5" "1" "4" "5" "5" "4" "1" "1" "4" "5"
## [45793] "5" "5" "1" "4" "1" "5" "4" "5" "5" "5" "4" "1" "5" "1" "1" "5" "4" "4"
## [45811] "4" "5" "1" "5" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "4" "5" "4"
## [45829] "5" "5" "5" "4" "5" "5" "5" "1" "5" "4" "5" "5" "5" "1" "4" "1" "4" "5"
## [45847] "5" "4" "5" "5" "4" "1" "4" "5" "4" "5" "1" "5" "1" "1" "5" "5" "1" "5"
## [45865] "5" "1" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [45883] "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "4" "4" "5" "5" "5" "1" "1"
## [45901] "1" "5" "4" "4" "5" "5" "5" "5" "5" "5" "1" "4" "5" "1" "5" "5" "4" "5"
## [45919] "4" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "4" "1" "5" "5"
## [45937] "5" "4" "5" "5" "1" "1" "5" "1" "5" "4" "4" "1" "4" "4" "5" "5" "4" "4"
## [45955] "4" "5" "4" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [45973] "5" "1" "5" "5" "4" "5" "1" "4" "5" "1" "5" "1" "4" "1" "5" "1" "4" "5"
## [45991] "5" "4" "1" "5" "1" "1" "5" "1" "5" "5" "4" "4" "5" "1" "4" "1" "5" "1"
## [46009] "4" "5" "1" "4" "1" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5"
## [46027] "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "5" "1" "5" "5" "5" "4" "4"
## [46045] "5" "5" "5" "4" "5" "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "1"
## [46063] "5" "4" "4" "4" "5" "5" "1" "5" "5" "5" "1" "4" "1" "5" "1" "5" "4" "4"
## [46081] "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4"
## [46099] "5" "5" "5" "5" "1" "1" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5"
## [46117] "5" "4" "1" "4" "5" "5" "1" "4" "5" "4" "5" "5" "4" "5" "4" "5" "5" "5"
## [46135] "5" "4" "1" "1" "1" "5" "1" "5" "1" "5" "4" "5" "4" "5" "5" "1" "5" "5"
## [46153] "5" "5" "5" "4" "5" "4" "4" "1" "1" "5" "5" "4" "5" "5" "5" "5" "1" "5"
## [46171] "5" "1" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4" "4" "4" "4" "5" "5"
## [46189] "4" "5" "4" "4" "5" "5" "4" "5" "1" "4" "4" "5" "5" "4" "4" "5" "5" "5"
## [46207] "5" "5" "4" "5" "5" "4" "5" "1" "5" "4" "5" "5" "5" "1" "5" "5" "1" "4"
## [46225] "1" "1" "1" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5"
## [46243] "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "1" "1" "4" "5" "5" "5"
## [46261] "5" "5" "5" "4" "5" "5" "1" "5" "4" "1" "5" "5" "4" "1" "4" "5" "5" "5"
## [46279] "5" "4" "1" "5" "5" "1" "5" "5" "5" "4" "5" "4" "4" "5" "4" "4" "5" "4"
## [46297] "4" "4" "5" "5" "5" "5" "5" "5" "5" "4" "4" "4" "5" "5" "1" "1" "5" "5"
## [46315] "4" "1" "5" "4" "5" "5" "4" "5" "1" "5" "1" "5" "1" "5" "1" "5" "1" "1"
## [46333] "5" "5" "1" "5" "1" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5"
## [46351] "4" "4" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "5" "4" "4" "5" "5" "5"
## [46369] "5" "5" "1" "5" "1" "1" "5" "5" "5" "1" "1" "4" "1" "4" "4" "5" "1" "5"
## [46387] "4" "1" "5" "4" "4" "1" "1" "5" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5"
## [46405] "1" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "4" "4" "5" "4" "4"
## [46423] "5" "5" "1" "4" "5" "5" "5" "4" "1" "1" "5" "5" "5" "4" "1" "4" "4" "5"
## [46441] "5" "4" "4" "1" "5" "4" "5" "5" "1" "4" "5" "1" "5" "5" "5" "1" "5" "5"
## [46459] "5" "1" "5" "1" "5" "4" "4" "5" "5" "4" "4" "5" "1" "5" "4" "5" "5" "5"
## [46477] "5" "4" "5" "5" "5" "5" "1" "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "5"
## [46495] "5" "5" "4" "1" "5" "5" "1" "5" "5" "5" "1" "5" "5" "4" "4" "4" "5" "5"
## [46513] "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "1"
## [46531] "5" "5" "5" "4" "1" "5" "1" "4" "5" "5" "1" "5" "1" "5" "4" "4" "5" "4"
## [46549] "5" "1" "4" "4" "5" "4" "4" "5" "5" "5" "4" "5" "5" "4" "1" "5" "5" "5"
## [46567] "4" "5" "5" "4" "4" "4" "1" "4" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5"
## [46585] "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "1" "5" "4" "5" "4" "5" "5" "1"
## [46603] "5" "5" "5" "4" "5" "5" "5" "5" "5" "1" "1" "1" "4" "5" "4" "5" "5" "5"
## [46621] "5" "4" "5" "1" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4"
## [46639] "5" "5" "1" "5" "5" "4" "4" "5" "5" "5" "5" "1" "1" "4" "5" "5" "5" "5"
## [46657] "4" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "4" "1"
## [46675] "1" "4" "5" "1" "5" "5" "4" "5" "5" "5" "1" "5" "4" "5" "4" "4" "5" "5"
## [46693] "1" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "1" "4" "4" "5" "5" "5" "5"
## [46711] "4" "5" "5" "5" "1" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5"
## [46729] "4" "5" "1" "4" "5" "5" "1" "1" "5" "4" "1" "1" "4" "5" "4" "4" "5" "1"
## [46747] "5" "5" "5" "4" "5" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "5"
## [46765] "5" "5" "4" "1" "1" "1" "4" "1" "1" "1" "1" "1" "5" "4" "5" "4" "5" "5"
## [46783] "4" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "1" "4" "5" "5" "1" "5" "5"
## [46801] "5" "5" "5" "4" "1" "5" "5" "4" "5" "4" "4" "5" "1" "4" "5" "5" "5" "4"
## [46819] "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "1"
## [46837] "1" "5" "5" "5" "4" "4" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "4" "4"
## [46855] "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "1" "5"
## [46873] "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "1" "1" "4" "5" "1" "4" "5" "4"
## [46891] "5" "1" "4" "1" "4" "5" "4" "5" "4" "1" "4" "5" "5" "1" "5" "5" "5" "4"
## [46909] "5" "5" "5" "4" "5" "5" "1" "4" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5"
## [46927] "5" "5" "1" "5" "5" "5" "5" "4" "4" "4" "5" "5" "4" "4" "1" "5" "5" "4"
## [46945] "5" "4" "4" "5" "5" "5" "4" "4" "5" "5" "4" "4" "5" "5" "5" "5" "1" "5"
## [46963] "5" "5" "1" "1" "5" "4" "5" "4" "5" "1" "5" "4" "5" "5" "4" "4" "5" "5"
## [46981] "4" "1" "4" "5" "4" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [46999] "1" "5" "1" "5" "4" "4" "5" "5" "4" "5" "5" "5" "5" "1" "5" "1" "1" "1"
## [47017] "1" "5" "5" "1" "5" "1" "5" "1" "5" "4" "5" "4" "5" "1" "5" "5" "5" "4"
## [47035] "5" "4" "5" "1" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5"
## [47053] "5" "1" "1" "4" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "4" "5" "5" "1"
## [47071] "5" "4" "5" "4" "4" "1" "4" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [47089] "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "4" "5" "1" "1" "4" "5" "5" "4"
## [47107] "4" "5" "5" "5" "1" "1" "4" "5" "4" "5" "4" "1" "5" "5" "5" "5" "5" "4"
## [47125] "5" "5" "1" "5" "4" "4" "1" "1" "5" "5" "1" "5" "5" "5" "5" "4" "4" "1"
## [47143] "5" "5" "4" "5" "5" "5" "1" "5" "5" "1" "1" "5" "5" "5" "4" "5" "5" "5"
## [47161] "5" "5" "5" "1" "1" "5" "1" "5" "5" "4" "5" "5" "4" "4" "5" "5" "5" "1"
## [47179] "1" "1" "5" "4" "5" "1" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4"
## [47197] "4" "4" "5" "1" "5" "4" "1" "5" "5" "5" "5" "4" "4" "4" "5" "1" "1" "4"
## [47215] "5" "1" "5" "1" "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [47233] "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "4" "5"
## [47251] "5" "5" "4" "5" "5" "1" "1" "4" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5"
## [47269] "1" "5" "5" "5" "1" "5" "4" "1" "5" "1" "5" "5" "5" "4" "4" "5" "5" "5"
## [47287] "4" "5" "4" "5" "4" "5" "1" "5" "5" "5" "1" "5" "4" "5" "5" "5" "1" "4"
## [47305] "5" "5" "5" "4" "4" "4" "5" "1" "5" "5" "1" "5" "1" "4" "5" "5" "5" "5"
## [47323] "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5" "4" "5" "5" "1" "4" "4" "5"
## [47341] "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "1" "5"
## [47359] "5" "5" "5" "4" "4" "5" "5" "5" "1" "5" "5" "5" "4" "5" "1" "1" "5" "5"
## [47377] "5" "5" "1" "1" "5" "5" "1" "5" "4" "5" "5" "4" "4" "5" "5" "5" "5" "4"
## [47395] "4" "5" "5" "5" "5" "1" "4" "1" "4" "1" "5" "5" "1" "5" "5" "5" "4" "1"
## [47413] "5" "5" "5" "5" "5" "4" "1" "4" "5" "5" "5" "5" "5" "5" "1" "1" "5" "5"
## [47431] "5" "1" "5" "4" "4" "1" "1" "1" "1" "4" "4" "5" "4" "1" "4" "4" "1" "5"
## [47449] "4" "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "4" "5" "1" "5" "4" "4" "5"
## [47467] "1" "4" "5" "5" "5" "1" "4" "5" "4" "4" "4" "5" "5" "5" "5" "5" "4" "1"
## [47485] "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "1" "5" "1" "5" "4" "4" "5"
## [47503] "5" "5" "4" "5" "5" "1" "1" "1" "5" "1" "4" "1" "5" "5" "5" "1" "1" "5"
## [47521] "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "1" "5" "5" "4" "1" "5" "5"
## [47539] "5" "5" "1" "5" "1" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "4" "5" "1"
## [47557] "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5"
## [47575] "1" "4" "5" "1" "5" "5" "1" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5"
## [47593] "5" "5" "4" "4" "4" "5" "5" "5" "5" "5" "5" "4" "1" "4" "5" "4" "5" "4"
## [47611] "1" "5" "4" "5" "1" "5" "4" "5" "4" "5" "4" "4" "4" "5" "5" "5" "5" "5"
## [47629] "5" "4" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5"
## [47647] "5" "5" "1" "4" "4" "4" "4" "4" "1" "5" "4" "1" "5" "1" "5" "5" "4" "5"
## [47665] "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4"
## [47683] "4" "1" "5" "5" "5" "4" "1" "4" "1" "5" "5" "5" "5" "4" "5" "5" "1" "5"
## [47701] "1" "4" "5" "4" "5" "4" "1" "5" "4" "4" "5" "5" "5" "5" "1" "4" "4" "4"
## [47719] "4" "5" "5" "5" "1" "5" "5" "5" "5" "1" "4" "5" "1" "5" "4" "5" "5" "5"
## [47737] "4" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "1" "4" "5" "5"
## [47755] "5" "5" "1" "5" "4" "5" "4" "1" "4" "5" "5" "5" "5" "1" "5" "4" "5" "5"
## [47773] "5" "5" "1" "1" "1" "5" "5" "4" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5"
## [47791] "5" "4" "1" "1" "5" "5" "1" "1" "1" "5" "5" "5" "4" "1" "1" "1" "5" "5"
## [47809] "5" "5" "5" "1" "5" "1" "5" "1" "1" "4" "5" "5" "5" "5" "5" "5" "1" "5"
## [47827] "5" "5" "5" "1" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "1"
## [47845] "5" "4" "5" "5" "1" "5" "4" "5" "5" "4" "1" "5" "1" "5" "1" "5" "5" "5"
## [47863] "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5"
## [47881] "5" "5" "5" "4" "5" "5" "1" "5" "4" "4" "1" "5" "5" "5" "5" "1" "5" "5"
## [47899] "5" "5" "5" "5" "4" "5" "5" "5" "1" "1" "4" "5" "5" "1" "5" "4" "5" "5"
## [47917] "5" "4" "1" "1" "5" "5" "5" "1" "5" "5" "5" "4" "1" "5" "5" "1" "5" "5"
## [47935] "5" "4" "5" "5" "4" "4" "1" "5" "4" "5" "5" "5" "5" "5" "4" "1" "5" "5"
## [47953] "1" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5" "1" "5" "5" "1" "1" "1" "5"
## [47971] "5" "5" "4" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5"
## [47989] "5" "5" "1" "4" "4" "5" "5" "5" "1" "5" "1" "5" "5" "5" "4" "4" "4" "5"
## [48007] "4" "4" "4" "5" "4" "1" "1" "1" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [48025] "4" "1" "5" "5" "4" "1" "5" "1" "4" "5" "5" "4" "5" "5" "1" "5" "4" "4"
## [48043] "5" "1" "5" "5" "4" "5" "5" "4" "1" "5" "5" "1" "5" "1" "5" "5" "5" "5"
## [48061] "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "4" "5" "1" "4"
## [48079] "1" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4"
## [48097] "5" "5" "5" "4" "5" "4" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [48115] "1" "5" "4" "5" "5" "4" "5" "5" "4" "1" "4" "1" "5" "5" "5" "4" "4" "4"
## [48133] "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5" "5" "5"
## [48151] "1" "4" "1" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5"
## [48169] "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "1"
## [48187] "5" "4" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [48205] "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "1" "1" "5" "4" "5" "4" "5" "5"
## [48223] "5" "5" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5" "5" "5" "5" "5" "1" "4"
## [48241] "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "1" "4" "1" "4" "5" "5" "1" "4"
## [48259] "5" "4" "4" "4" "5" "5" "5" "4" "5" "4" "5" "1" "4" "1" "5" "5" "5" "5"
## [48277] "5" "1" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "4" "4" "5" "5"
## [48295] "5" "4" "4" "4" "5" "4" "4" "4" "4" "1" "1" "5" "5" "5" "5" "5" "5" "4"
## [48313] "5" "5" "5" "5" "5" "5" "1" "5" "1" "4" "4" "5" "5" "5" "5" "4" "5" "4"
## [48331] "5" "4" "5" "4" "4" "5" "5" "1" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5"
## [48349] "5" "5" "1" "4" "5" "5" "5" "1" "4" "5" "1" "1" "5" "5" "5" "5" "4" "4"
## [48367] "5" "5" "5" "4" "5" "5" "4" "4" "5" "4" "4" "5" "5" "5" "5" "5" "1" "5"
## [48385] "5" "4" "4" "1" "5" "5" "5" "5" "4" "4" "4" "5" "1" "1" "5" "1" "5" "5"
## [48403] "5" "1" "5" "5" "4" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5"
## [48421] "5" "4" "5" "5" "5" "5" "5" "5" "4" "4" "4" "5" "4" "5" "5" "4" "5" "5"
## [48439] "1" "5" "5" "5" "1" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5"
## [48457] "5" "5" "5" "4" "4" "4" "5" "5" "4" "5" "1" "4" "5" "4" "5" "1" "5" "4"
## [48475] "1" "4" "5" "5" "5" "4" "1" "5" "5" "5" "4" "5" "1" "5" "1" "1" "5" "5"
## [48493] "1" "1" "5" "5" "1" "1" "5" "5" "5" "5" "4" "5" "4" "1" "5" "1" "4" "5"
## [48511] "5" "4" "5" "5" "4" "4" "5" "1" "5" "5" "5" "5" "5" "1" "5" "5" "1" "1"
## [48529] "5" "4" "5" "5" "5" "4" "1" "5" "5" "4" "4" "5" "4" "5" "5" "5" "5" "1"
## [48547] "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "4"
## [48565] "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "1" "4"
## [48583] "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "4" "4" "1"
## [48601] "1" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "5"
## [48619] "1" "1" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5"
## [48637] "1" "4" "4" "1" "4" "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "4" "1" "4"
## [48655] "4" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "1" "5" "1" "1" "5" "5" "4"
## [48673] "1" "4" "5" "1" "1" "1" "1" "5" "5" "5" "1" "4" "1" "4" "5" "1" "4" "5"
## [48691] "5" "4" "4" "1" "5" "5" "4" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "5"
## [48709] "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "4"
## [48727] "1" "5" "5" "5" "4" "5" "4" "5" "5" "4" "5" "5" "5" "1" "4" "4" "4" "5"
## [48745] "4" "5" "5" "5" "5" "1" "1" "1" "4" "5" "5" "4" "5" "5" "4" "1" "5" "4"
## [48763] "4" "5" "1" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "1" "1" "4" "1" "5"
## [48781] "4" "4" "5" "1" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5"
## [48799] "4" "1" "5" "5" "4" "4" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "4"
## [48817] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "5"
## [48835] "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [48853] "5" "4" "1" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "5" "5" "4" "5" "5"
## [48871] "1" "5" "1" "5" "1" "5" "4" "5" "5" "4" "1" "5" "1" "5" "4" "5" "4" "5"
## [48889] "4" "5" "5" "1" "4" "5" "1" "5" "5" "5" "4" "4" "4" "1" "5" "1" "5" "1"
## [48907] "1" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "4" "4" "4" "5"
## [48925] "1" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "4" "5" "4" "4" "5" "1" "4"
## [48943] "5" "4" "4" "4" "1" "5" "5" "5" "5" "4" "5" "5" "5" "1" "1" "1" "5" "5"
## [48961] "4" "5" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5"
## [48979] "5" "5" "5" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "4" "5"
## [48997] "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "4" "4" "4" "5" "5" "5" "1"
## [49015] "5" "5" "5" "5" "5" "5" "4" "1" "5" "5" "5" "5" "1" "1" "5" "1" "5" "5"
## [49033] "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5" "4" "4" "5" "5" "5" "4" "5"
## [49051] "5" "5" "5" "1" "4" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "1" "4" "5"
## [49069] "5" "5" "4" "5" "5" "5" "4" "4" "1" "4" "5" "4" "5" "5" "4" "4" "4" "1"
## [49087] "1" "4" "5" "5" "4" "1" "1" "5" "4" "5" "1" "4" "5" "5" "4" "4" "5" "1"
## [49105] "1" "5" "5" "5" "5" "4" "5" "4" "4" "5" "5" "4" "5" "5" "1" "5" "5" "4"
## [49123] "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5" "4" "5"
## [49141] "5" "5" "5" "1" "4" "1" "5" "5" "5" "5" "1" "5" "4" "1" "5" "5" "5" "5"
## [49159] "5" "5" "1" "1" "1" "5" "4" "5" "5" "5" "5" "1" "4" "4" "5" "5" "5" "1"
## [49177] "5" "5" "4" "5" "5" "5" "5" "1" "5" "4" "4" "5" "5" "4" "5" "5" "4" "5"
## [49195] "5" "4" "5" "5" "5" "5" "5" "5" "5" "1" "4" "4" "5" "5" "5" "5" "5" "4"
## [49213] "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "1" "5" "1" "5" "5" "4"
## [49231] "5" "5" "5" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "4" "5"
## [49249] "5" "4" "5" "5" "1" "1" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "1" "5"
## [49267] "5" "1" "1" "5" "4" "5" "4" "4" "5" "5" "5" "4" "4" "1" "4" "5" "5" "4"
## [49285] "4" "5" "1" "1" "4" "1" "5" "4" "5" "4" "4" "1" "5" "5" "5" "4" "5" "1"
## [49303] "4" "5" "5" "5" "5" "4" "5" "4" "5" "4" "5" "5" "5" "1" "1" "1" "5" "5"
## [49321] "5" "5" "1" "4" "5" "5" "5" "1" "5" "4" "4" "5" "5" "5" "5" "5" "4" "5"
## [49339] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "1"
## [49357] "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "4" "1" "5"
## [49375] "4" "5" "5" "5" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "5" "5"
## [49393] "5" "4" "4" "4" "5" "5" "1" "5" "5" "4" "4" "4" "5" "5" "5" "1" "5" "5"
## [49411] "4" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5"
## [49429] "5" "5" "5" "5" "4" "4" "5" "5" "5" "4" "1" "5" "1" "1" "5" "5" "5" "5"
## [49447] "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "1" "4" "5" "5" "4" "5" "4" "1"
## [49465] "5" "5" "5" "1" "5" "5" "4" "5" "5" "4" "5" "5" "5" "1" "4" "4" "5" "4"
## [49483] "4" "5" "5" "5" "5" "4" "4" "1" "1" "4" "5" "4" "5" "1" "5" "5" "1" "5"
## [49501] "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "4" "5" "5" "1" "5" "1" "1" "1"
## [49519] "1" "1" "1" "5" "5" "4" "5" "1" "4" "4" "5" "5" "1" "5" "5" "5" "5" "5"
## [49537] "5" "4" "5" "5" "4" "4" "5" "5" "4" "1" "4" "4" "5" "5" "1" "5" "5" "5"
## [49555] "5" "5" "4" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "4" "5" "5" "5"
## [49573] "4" "5" "5" "1" "4" "1" "1" "4" "5" "5" "1" "5" "4" "5" "5" "5" "1" "5"
## [49591] "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "1" "5" "5" "5"
## [49609] "5" "4" "5" "5" "1" "5" "5" "1" "5" "4" "5" "5" "4" "1" "1" "4" "1" "5"
## [49627] "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "1" "4" "5" "5" "4" "5" "5"
## [49645] "5" "4" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1"
## [49663] "1" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1" "1" "1" "5"
## [49681] "1" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "1" "5" "5" "5" "5"
## [49699] "5" "5" "4" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "1" "1" "4" "5" "4"
## [49717] "5" "1" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "4" "1" "5" "5" "5" "5"
## [49735] "1" "4" "1" "5" "5" "5" "4" "5" "4" "1" "5" "5" "5" "5" "5" "4" "5" "5"
## [49753] "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "1" "1" "4" "4" "5" "5"
## [49771] "4" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "1" "5"
## [49789] "5" "5" "5" "5" "5" "5" "4" "5" "4" "5" "4" "4" "5" "5" "1" "5" "5" "1"
## [49807] "5" "4" "5" "5" "5" "4" "5" "4" "1" "5" "5" "5" "1" "5" "4" "4" "5" "5"
## [49825] "1" "5" "5" "5" "4" "4" "5" "5" "5" "1" "5" "4" "4" "1" "5" "5" "1" "5"
## [49843] "4" "5" "5" "5" "5" "1" "1" "1" "1" "4" "5" "4" "5" "5" "4" "1" "4" "5"
## [49861] "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5" "4" "1" "1" "5"
## [49879] "5" "5" "5" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5"
## [49897] "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "4"
## [49915] "5" "5" "5" "5" "4" "5" "5" "4" "1" "4" "5" "1" "5" "5" "5" "5" "5" "4"
## [49933] "4" "5" "5" "5" "1" "5" "5" "1" "4" "5" "4" "5" "5" "4" "1" "4" "5" "5"
## [49951] "5" "4" "1" "5" "5" "4" "5" "1" "5" "4" "5" "4" "5" "5" "4" "1" "4" "5"
## [49969] "4" "5" "1" "5" "4" "4" "5" "1" "5" "5" "5" "5" "1" "5" "5" "5" "1" "4"
## [49987] "5" "5" "5" "5" "4" "4" "5" "5" "4" "5" "5" "5" "1" "5" "4" "4" "1" "5"
## [50005] "5" "5" "5" "5" "1" "4" "5" "4" "4" "5" "1" "5" "1" "5" "5" "4" "5" "4"
## [50023] "5" "1" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "4" "1" "5" "5" "5"
## [50041] "5" "4" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5"
## [50059] "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "5" "4" "5" "1" "5" "1" "4" "5"
## [50077] "4" "1" "4" "5" "1" "5" "5" "5" "5" "5" "1" "4" "1" "4" "5" "5" "5" "5"
## [50095] "5" "5" "5" "5" "5" "5" "5" "5" "4" "4" "1" "4" "5" "5" "5" "5" "5" "4"
## [50113] "1" "1" "5" "4" "5" "4" "1" "5" "5" "4" "1" "1" "4" "4" "5" "4" "5" "5"
## [50131] "5" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "4"
## [50149] "1" "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5" "4" "4" "5" "1" "5" "1"
## [50167] "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "4" "4" "5"
## [50185] "1" "4" "4" "5" "5" "4" "5" "1" "4" "4" "4" "4" "5" "5" "4" "5" "4" "5"
## [50203] "5" "5" "5" "5" "5" "5" "1" "5" "1" "4" "5" "5" "5" "5" "4" "1" "1" "5"
## [50221] "1" "5" "1" "4" "1" "5" "1" "5" "4" "4" "5" "4" "5" "5" "5" "1" "5" "1"
## [50239] "4" "1" "4" "5" "5" "1" "1" "5" "5" "5" "1" "4" "5" "5" "5" "5" "1" "5"
## [50257] "1" "4" "4" "5" "5" "4" "4" "5" "1" "5" "5" "5" "4" "5" "5" "4" "5" "5"
## [50275] "1" "1" "5" "5" "4" "5" "1" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5" "5"
## [50293] "5" "5" "5" "4" "5" "5" "5" "1" "1" "5" "4" "5" "4" "5" "5" "5" "5" "5"
## [50311] "5" "1" "5" "4" "5" "4" "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "4" "1"
## [50329] "5" "4" "1" "1" "5" "5" "4" "4" "5" "1" "5" "1" "5" "4" "4" "4" "5" "5"
## [50347] "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "4" "4" "5" "5" "5" "5" "5" "4"
## [50365] "4" "5" "1" "4" "1" "4" "5" "5" "1" "5" "5" "1" "5" "1" "5" "1" "5" "5"
## [50383] "1" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "1" "4" "4" "4" "5" "4" "5"
## [50401] "5" "1" "5" "5" "4" "4" "1" "1" "4" "5" "5" "1" "5" "4" "5" "5" "4" "1"
## [50419] "5" "4" "4" "5" "5" "4" "4" "4" "1" "4" "5" "5" "5" "5" "4" "5" "5" "5"
## [50437] "4" "5" "4" "5" "5" "4" "4" "4" "4" "1" "5" "5" "4" "5" "4" "4" "4" "1"
## [50455] "5" "5" "5" "5" "5" "4" "4" "5" "4" "5" "5" "1" "4" "5" "5" "4" "1" "5"
## [50473] "1" "5" "1" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5"
## [50491] "4" "5" "1" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "1"
## [50509] "5" "5" "4" "5" "4" "1" "1" "4" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5"
## [50527] "5" "5" "4" "4" "5" "4" "5" "5" "1" "5" "5" "4" "5" "4" "4" "5" "1" "4"
## [50545] "1" "1" "4" "5" "5" "5" "5" "1" "5" "5" "1" "5" "1" "5" "5" "1" "4" "1"
## [50563] "4" "5" "1" "4" "1" "1" "1" "5" "5" "5" "5" "4" "5" "4" "4" "5" "5" "5"
## [50581] "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "4"
## [50599] "4" "1" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5" "1" "1" "5" "5" "5" "5"
## [50617] "5" "4" "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4" "1" "5" "5" "5" "5"
## [50635] "4" "1" "4" "1" "5" "1" "5" "4" "5" "4" "1" "5" "5" "4" "5" "5" "5" "5"
## [50653] "4" "4" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5" "5" "1" "1"
## [50671] "1" "1" "4" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4"
## [50689] "4" "5" "5" "5" "5" "4" "1" "5" "1" "5" "4" "4" "5" "4" "5" "5" "5" "5"
## [50707] "5" "5" "1" "4" "4" "5" "1" "5" "5" "1" "5" "1" "5" "5" "5" "5" "4" "5"
## [50725] "5" "5" "1" "4" "5" "4" "5" "1" "1" "5" "5" "5" "5" "5" "4" "4" "5" "4"
## [50743] "5" "5" "5" "1" "5" "5" "4" "4" "5" "5" "5" "5" "5" "1" "5" "5" "1" "5"
## [50761] "5" "1" "1" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "1"
## [50779] "5" "5" "5" "5" "4" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "4" "5" "5"
## [50797] "1" "5" "1" "5" "5" "5" "4" "5" "4" "5" "4" "5" "1" "5" "5" "5" "5" "5"
## [50815] "5" "5" "5" "4" "5" "5" "1" "5" "5" "1" "5" "5" "1" "5" "4" "5" "5" "5"
## [50833] "4" "5" "5" "1" "5" "5" "5" "4" "1" "5" "5" "1" "4" "1" "4" "5" "4" "5"
## [50851] "1" "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "4" "4" "5" "4" "4" "5" "4"
## [50869] "5" "5" "5" "4" "5" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5"
## [50887] "5" "5" "5" "5" "5" "4" "5" "1" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5"
## [50905] "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5"
## [50923] "5" "1" "5" "1" "1" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4" "5" "5"
## [50941] "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "4" "4" "5" "5" "5"
## [50959] "5" "4" "5" "1" "5" "5" "4" "5" "4" "5" "5" "4" "5" "4" "5" "1" "1" "4"
## [50977] "5" "5" "5" "4" "1" "5" "1" "5" "4" "5" "5" "5" "1" "5" "5" "1" "5" "5"
## [50995] "5" "4" "5" "5" "5" "1" "1" "1" "1" "4" "4" "5" "5" "5" "5" "1" "5" "4"
## [51013] "5" "4" "5" "1" "5" "4" "1" "4" "5" "5" "5" "5" "5" "5" "5" "4" "1" "4"
## [51031] "5" "4" "4" "1" "1" "5" "1" "5" "5" "1" "5" "4" "4" "5" "5" "5" "5" "5"
## [51049] "4" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [51067] "5" "5" "5" "5" "4" "5" "5" "4" "1" "5" "4" "5" "4" "5" "5" "4" "5" "5"
## [51085] "4" "1" "5" "5" "5" "1" "4" "5" "5" "1" "5" "5" "4" "5" "5" "5" "5" "4"
## [51103] "5" "5" "4" "4" "5" "5" "1" "4" "5" "5" "1" "1" "5" "5" "5" "5" "4" "4"
## [51121] "5" "1" "5" "1" "5" "1" "5" "5" "1" "5" "1" "5" "1" "4" "4" "5" "5" "5"
## [51139] "4" "5" "4" "5" "5" "5" "5" "4" "5" "5" "1" "1" "5" "1" "5" "4" "4" "5"
## [51157] "5" "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "4" "5" "5" "5"
## [51175] "5" "5" "5" "4" "5" "5" "4" "5" "1" "1" "1" "5" "1" "4" "5" "5" "4" "4"
## [51193] "5" "1" "5" "4" "5" "1" "5" "4" "5" "4" "5" "5" "5" "5" "5" "5" "4" "4"
## [51211] "4" "1" "1" "5" "5" "5" "5" "1" "5" "4" "5" "4" "5" "4" "4" "5" "5" "5"
## [51229] "5" "5" "1" "5" "4" "5" "5" "1" "4" "1" "5" "1" "5" "4" "5" "1" "1" "5"
## [51247] "1" "5" "5" "5" "4" "4" "1" "5" "4" "4" "5" "5" "4" "4" "5" "5" "4" "5"
## [51265] "5" "5" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5" "4" "4" "5" "1" "1" "4"
## [51283] "1" "5" "1" "5" "5" "4" "1" "1" "4" "5" "5" "5" "1" "1" "5" "5" "5" "5"
## [51301] "5" "5" "5" "1" "5" "5" "4" "4" "1" "5" "5" "5" "4" "5" "5" "5" "1" "5"
## [51319] "5" "5" "5" "1" "4" "4" "5" "4" "5" "5" "4" "5" "1" "5" "4" "4" "5" "5"
## [51337] "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "1" "1"
## [51355] "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "1" "4" "5" "5" "5" "4" "5"
## [51373] "1" "5" "5" "1" "4" "5" "1" "1" "5" "4" "5" "4" "4" "5" "5" "5" "1" "1"
## [51391] "5" "5" "5" "5" "5" "5" "1" "5" "1" "1" "5" "5" "5" "5" "5" "1" "5" "5"
## [51409] "4" "5" "5" "1" "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "4" "5" "5" "4"
## [51427] "4" "5" "5" "4" "1" "5" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5"
## [51445] "5" "5" "5" "1" "5" "5" "1" "4" "5" "5" "4" "5" "1" "5" "5" "5" "1" "5"
## [51463] "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "1" "1" "5"
## [51481] "4" "1" "5" "4" "5" "5" "1" "5" "5" "5" "5" "1" "1" "1" "5" "5" "5" "4"
## [51499] "5" "5" "5" "4" "1" "4" "5" "1" "4" "4" "5" "5" "5" "5" "5" "1" "1" "5"
## [51517] "5" "5" "5" "5" "4" "5" "1" "4" "1" "4" "5" "5" "5" "4" "5" "4" "1" "5"
## [51535] "1" "5" "5" "4" "5" "5" "4" "5" "4" "1" "1" "4" "5" "5" "4" "5" "5" "5"
## [51553] "5" "5" "4" "5" "5" "5" "4" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5"
## [51571] "4" "4" "5" "5" "1" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [51589] "5" "4" "4" "4" "1" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [51607] "5" "4" "4" "5" "5" "4" "5" "4" "5" "5" "1" "5" "5" "4" "5" "4" "1" "5"
## [51625] "1" "1" "1" "1" "4" "4" "5" "1" "5" "5" "1" "1" "4" "5" "5" "5" "1" "5"
## [51643] "5" "5" "5" "5" "1" "1" "5" "5" "4" "5" "5" "5" "5" "5" "1" "4" "5" "5"
## [51661] "5" "5" "5" "5" "1" "5" "5" "1" "4" "5" "5" "5" "5" "5" "4" "4" "4" "4"
## [51679] "5" "5" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "4" "5" "5"
## [51697] "4" "5" "1" "5" "4" "1" "5" "5" "4" "5" "5" "5" "4" "5" "5" "1" "5" "1"
## [51715] "5" "5" "1" "5" "1" "4" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5"
## [51733] "4" "5" "4" "4" "5" "5" "1" "5" "4" "5" "4" "5" "5" "1" "5" "5" "4" "5"
## [51751] "1" "4" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "5" "4"
## [51769] "5" "5" "4" "4" "5" "1" "5" "1" "4" "5" "5" "5" "1" "5" "5" "5" "4" "5"
## [51787] "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "1" "4" "5" "5" "4" "5" "1" "5"
## [51805] "4" "4" "4" "5" "5" "4" "5" "1" "1" "5" "5" "5" "5" "5" "5" "4" "5" "1"
## [51823] "5" "1" "5" "5" "5" "5" "4" "1" "5" "4" "5" "5" "5" "5" "4" "5" "5" "1"
## [51841] "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "4" "4" "5" "4"
## [51859] "5" "4" "4" "1" "5" "4" "5" "5" "5" "4" "4" "1" "1" "1" "1" "5" "1" "5"
## [51877] "1" "5" "4" "1" "5" "5" "5" "5" "5" "5" "1" "4" "4" "5" "5" "1" "5" "5"
## [51895] "5" "5" "4" "5" "4" "5" "5" "1" "1" "5" "4" "5" "5" "5" "5" "4" "5" "4"
## [51913] "5" "5" "4" "5" "4" "5" "4" "1" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5"
## [51931] "5" "5" "5" "5" "5" "4" "4" "5" "5" "5" "1" "1" "1" "5" "5" "5" "5" "5"
## [51949] "5" "1" "5" "1" "1" "5" "5" "5" "1" "1" "5" "5" "5" "4" "5" "1" "1" "5"
## [51967] "5" "4" "4" "5" "4" "5" "1" "5" "5" "4" "5" "4" "5" "5" "4" "4" "5" "5"
## [51985] "5" "5" "4" "4" "5" "5" "5" "1" "5" "4" "5" "5" "5" "1" "5" "1" "5" "5"
## [52003] "5" "4" "5" "5" "5" "5" "4" "1" "5" "5" "5" "1" "4" "5" "5" "5" "4" "5"
## [52021] "5" "5" "4" "5" "1" "5" "5" "4" "5" "4" "5" "4" "4" "4" "5" "5" "5" "4"
## [52039] "4" "1" "4" "5" "1" "5" "1" "5" "1" "4" "5" "5" "5" "5" "5" "5" "4" "5"
## [52057] "4" "4" "1" "5" "4" "5" "5" "5" "4" "5" "1" "5" "5" "4" "5" "4" "1" "5"
## [52075] "1" "5" "4" "1" "4" "1" "5" "4" "5" "4" "5" "5" "5" "1" "5" "4" "5" "5"
## [52093] "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "1" "5" "1"
## [52111] "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "1" "5" "5" "5" "1"
## [52129] "4" "4" "4" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5"
## [52147] "1" "1" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [52165] "5" "5" "4" "5" "5" "1" "5" "5" "1" "4" "4" "4" "5" "1" "5" "1" "5" "5"
## [52183] "5" "5" "5" "1" "4" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5"
## [52201] "5" "5" "1" "4" "5" "5" "5" "1" "1" "5" "5" "4" "5" "5" "5" "4" "5" "5"
## [52219] "5" "4" "4" "5" "5" "5" "1" "5" "4" "4" "5" "5" "1" "5" "5" "5" "5" "4"
## [52237] "5" "5" "4" "1" "5" "5" "4" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5"
## [52255] "5" "1" "1" "5" "1" "1" "1" "5" "5" "1" "1" "1" "5" "5" "4" "1" "1" "5"
## [52273] "5" "5" "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [52291] "5" "1" "5" "5" "5" "5" "1" "5" "1" "5" "5" "5" "5" "5" "4" "5" "5" "1"
## [52309] "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "1" "5" "4"
## [52327] "1" "1" "5" "4" "5" "4" "5" "4" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5"
## [52345] "5" "5" "5" "5" "4" "5" "5" "4" "5" "5" "5" "5" "1" "5" "5" "5" "5" "4"
## [52363] "5" "5" "5" "4" "5" "4" "4" "1" "5" "1" "5" "5" "4" "5" "4" "5" "5" "5"
## [52381] "5" "5" "1" "5" "5" "5" "4" "5" "5" "4" "5" "4" "5" "1" "5" "5" "5" "5"
## [52399] "5" "4" "1" "5" "4" "5" "5" "5" "5" "4" "5" "5" "4" "1" "5" "4" "4" "5"
## [52417] "5" "4" "4" "1" "5" "5" "1" "5" "4" "1" "5" "5" "5" "5" "5" "4" "4" "5"
## [52435] "4" "4" "4" "1" "4" "5" "1" "1" "5" "5" "5" "5" "4" "1" "5" "1" "5" "5"
## [52453] "5" "5" "5" "5" "4" "5" "4" "5" "5" "5" "5" "1" "1" "5" "1" "5" "5" "4"
## [52471] "4" "1" "1" "1" "4" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5" "5"
## [52489] "5" "1" "4" "1" "5" "5" "5" "1" "5" "5" "5" "5" "4" "4" "4" "5" "4" "5"
## [52507] "1" "5" "5" "5" "4" "5" "5" "1" "1" "1" "5" "1" "5" "5" "4" "1" "1" "5"
## [52525] "4" "5" "1" "4" "5" "1" "4" "1" "4" "1" "5" "5" "5" "5" "5" "1" "5" "5"
## [52543] "4" "4" "1" "5" "4" "5" "4" "4" "5" "5" "1" "5" "4" "5" "5" "5" "4" "5"
## [52561] "1" "5" "4" "1" "4" "4" "5" "5" "1" "5" "5" "1" "1" "5" "4" "5" "4" "4"
## [52579] "4" "1" "5" "5" "4" "5" "4" "4" "1" "5" "5" "5" "5" "1" "1" "5" "4" "4"
## [52597] "4" "4" "5" "5" "5" "5" "1" "1" "5" "5" "5" "5" "4" "4" "5" "5" "5" "5"
## [52615] "1" "5" "1" "5" "1" "4" "5" "5" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5"
## [52633] "1" "4" "4" "5" "5" "4" "4" "4" "1" "5" "5" "5" "5" "1" "5" "5" "5" "4"
## [52651] "1" "4" "5" "5" "5" "4" "4" "5" "5" "1" "5" "4" "5" "4" "5" "4" "5" "5"
## [52669] "5" "4" "5" "1" "5" "4" "5" "5" "4" "4" "1" "4" "5" "1" "5" "5" "5" "5"
## [52687] "1" "5" "5" "5" "5" "5" "5" "5" "1" "5" "1" "4" "5" "1" "5" "5" "4" "1"
## [52705] "5" "5" "5" "5" "5" "4" "5" "1" "1" "5" "5" "5" "5" "5" "4" "5" "5" "1"
## [52723] "5" "5" "5" "5" "4" "4" "5" "4" "5" "5" "5" "4" "1" "4" "5" "5" "5" "5"
## [52741] "5" "5" "5" "5" "1" "5" "5" "5" "5" "5" "5" "1" "4" "5" "5" "5" "5" "5"
## [52759] "5" "1" "4" "5" "4" "1" "5" "4" "5" "5" "1" "1" "1" "5" "5" "5" "5" "5"
## [52777] "5" "5" "1" "4" "4" "5" "5" "5" "1" "5" "5" "1" "4" "5" "5" "4" "5" "1"
## [52795] "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "1" "5" "5" "1" "5" "4" "5" "5"
## [52813] "5" "4" "5" "5" "4" "5" "5" "1" "4" "5" "5" "5" "5" "4" "5" "5" "5" "5"
## [52831] "1" "5" "5" "5" "4" "5" "4" "1" "4" "4" "5" "1" "5" "5" "5" "4" "5" "5"
## [52849] "5" "5" "1" "4" "4" "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "5" "5" "5"
## [52867] "5" "4" "1" "1" "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "1" "5" "1" "5"
## [52885] "5" "5" "4" "4" "5" "4" "4" "5" "1" "1" "4" "5" "1" "5" "5" "5" "5" "5"
## [52903] "1" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "1" "5" "5" "1" "5"
## [52921] "5" "4" "5" "5" "5" "5" "5" "1" "4" "4" "4" "5" "1" "4" "5" "5" "1" "5"
## [52939] "5" "5" "5" "5" "1" "1" "5" "4" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5"
## [52957] "1" "5" "5" "5" "5" "4" "5" "5" "5" "4" "5" "4" "5" "4" "5" "4" "4" "5"
## [52975] "5" "5" "4" "1" "5" "4" "5" "1" "5" "1" "5" "5" "5" "4" "5" "5" "4" "4"
## [52993] "4" "1" "5" "1" "4" "4" "4" "5" "4" "5" "5" "5" "4" "5" "5" "5" "5" "5"
## [53011] "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "1" "5" "4"
## [53029] "5" "5" "1" "5" "5" "5" "1" "5" "4" "1" "4" "5" "5" "5" "1" "4" "5" "5"
## [53047] "4" "5" "5" "5" "5" "5" "4" "1" "5" "4" "4" "5" "5" "5" "5" "5" "5" "5"
## [53065] "5" "4" "5" "5" "5" "1" "1" "5" "5" "5" "4" "4" "5" "1" "4" "5" "5" "4"
## [53083] "5" "5" "5" "5" "1" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5" "1" "5" "5"
## [53101] "5" "5" "4" "5" "4" "5" "5" "1" "5" "5" "5" "5" "4" "1" "5" "5" "4" "5"
## [53119] "5" "5" "1" "5" "4" "1" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "4" "5"
## [53137] "5" "4" "5" "5" "5" "1" "4" "4" "5" "1" "5" "5" "5" "1" "5" "5" "5" "5"
## [53155] "5" "1" "5" "5" "4" "4" "4" "5" "5" "1" "5" "5" "5" "5" "5" "5" "5" "4"
## [53173] "5" "4" "4" "5" "4" "5" "5" "4" "1" "1" "5" "1" "5" "5" "5" "5" "5" "5"
## [53191] "5" "5" "5" "4" "4" "5" "5" "5" "5" "5" "5" "4" "4" "5" "5" "4" "5" "5"
## [53209] "4" "5" "5" "4" "1" "5" "5" "5" "4" "4" "5" "5" "5" "5" "4" "4" "5" "5"
## [53227] "1" "4" "4" "5" "1" "5" "5" "5" "4" "4" "5" "5" "5" "4" "5" "4" "5" "5"
## [53245] "1" "5" "5" "1" "4" "4" "4" "4" "1" "5" "5" "4" "5" "5" "5" "4" "1" "4"
## [53263] "5" "5" "5" "5" "5" "4" "5" "5" "5" "1" "5" "5" "5" "5" "4" "5" "4" "5"
## [53281] "5" "5" "4" "4" "1" "1" "5" "1" "5" "5" "4" "5" "1" "4" "5" "5" "5" "5"
## [53299] "4" "4" "5" "1" "4" "5" "4" "5" "5" "4" "4" "5" "1" "4" "1" "5" "5" "1"
## [53317] "5" "5" "4" "4" "5" "1" "5" "4" "5" "4" "5" "1" "4" "4" "1" "5" "4" "5"
## [53335] "5" "5" "5" "4" "5" "5" "5" "4" "1" "5" "5" "5" "4" "5" "4" "5" "1" "1"
## [53353] "4" "1" "5" "1" "1" "5" "5" "5" "4" "5" "1" "4" "5" "5" "5" "4" "1" "5"
## [53371] "1" "4" "4" "5" "4" "5" "5" "1" "5" "5" "1" "5" "1" "5" "5" "5" "4" "5"
## [53389] "5" "5" "5" "5" "5" "5" "4" "5" "5" "4" "5" "1" "5" "5" "5" "5" "5" "5"
## [53407] "1" "5" "5" "4" "1" "5" "5" "5" "4" "1" "5" "1" "5" "5" "5" "4" "5" "5"
## [53425] "5" "4" "5" "4" "5" "4" "5" "5" "5" "5" "5" "1" "4" "4" "1" "5" "4" "5"
## [53443] "5" "5" "5" "5" "5" "4" "4" "4" "4" "1" "5" "5" "4" "5" "5" "4" "1" "4"
## [53461] "5" "1" "5" "1" "5" "4" "5" "1" "5" "5" "5" "4" "1" "5" "4" "4" "5" "5"
## [53479] "5" "4" "1" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "5" "4" "5" "5" "1"
## [53497] "4" "4" "4" "5" "5" "4" "5" "5" "4" "4" "5" "5" "1" "4" "5" "5" "5" "5"
## [53515] "5" "4" "1" "5" "5" "5" "5" "5" "4" "5" "5" "5" "5" "5" "5" "1" "1" "5"
## [53533] "4" "5" "5" "5" "5" "4" "4" "5" "1" "5" "5" "5" "1" "5" "5" "5" "1" "5"
## [53551] "1" "5" "5" "5" "4" "5" "4" "4" "5" "5" "5" "4" "5" "1" "5" "5" "5" "1"
## [53569] "5" "4" "1" "5" "4" "4" "5"
##
## $confusion
## Observed Class
## Predicted Class 1 2 3 4 5
## 1 4690 1218 686 675 1572
## 4 668 987 2241 4345 3633
## 5 2678 1883 2409 6083 19807
##
## $error
## [1] 0.4616519Unlike bagging averaging distinct training samples, boosting focuses on averaging different models. Boosting exhibits a reduced error rate of 0.4612786, surpassing the performance of bagging. Although bagging and boosting algorithms outperform classification trees, the resulting models cannot be interpretative in the form of trees.
In conclusion, the OLS regression model that is appropriately specified presents comparable performance to a LASSO model. Ridge regression performs poorly in predicting star ratings. Moreover, boosting has the lowest error rate in this project. Random forests conducted unfavorably exhibiting a rather high error rate. This can be attributed to a limited quantity of trees.
Challenges Overall, I ran into a number of issues with my project. Loading data is a huge time sink, even for the small samples. Honestly, I am just starting up with the R language, so getting to know the system and the scripts takes a long time. Even though my models have quite poor predictability, I hope models and analysis can provide some valuable insights.
Reference Emmanuel, T., Maupong, T., Mpoeleng, D., Semong, T., Mphago, B. and Tabona, O. (2021). A Survey on Missing Data in Machine Learning. Journal of Big Data, 8(1). doi:https://doi.org/10.1186/s40537-021-00516-9. Wright, S. (1921). Correlation and Causation. Journal of Agricultural Research, 20(7), pp.557–585. Zhang, Z. (2015). Missing values in big data research: some basic skills. Annals of translational medicine, [online] 3(21), p.323. doi:https://doi.org/10.3978/j.issn.2305-5839.2015.12.11.